diff --git a/lecture_material/12-web-2/template_lec_001.py b/lecture_material/12-web-2/template_lec_001.py
index bfc95224ea2b577ea028d4ebcedc07b0447a4dc6..eb9c13e4f820b23c0923fe50a328b2a860b905cd 100644
--- a/lecture_material/12-web-2/template_lec_001.py
+++ b/lecture_material/12-web-2/template_lec_001.py
@@ -14,10 +14,18 @@ last_visit = 0 # TODO: dict of visit times, for each IP
 
 # TODO: write code for creating a page for time.html
 # TEMPLATE semi-static / semi-dynamic
+@app.route("/time.html")
+def clock():
+    with open("time.html") as f:
+        s = f.read()
+    s = s.replace("REPLACE_ME", str(time.time()))
+    return s
 
 # TODO: create a dynamic page ha.html
 # DYNAMIC
-
+@app.route("/ha.html")
+def laugh():
+    return "ha "*1000
 
 # STATIC
 # @ operator is called a "decorator"
diff --git a/lecture_material/13-web-3/template_lec_002.py b/lecture_material/13-web-3/template_lec_002.py
index 25b352fdad794caff61e5bc608d4acf66db55fde..a17ec64d154ca53c9ed9df370476271d7265fb69 100644
--- a/lecture_material/13-web-3/template_lec_002.py
+++ b/lecture_material/13-web-3/template_lec_002.py
@@ -24,9 +24,18 @@ last_visit = 0 # TODO: dict of visit times, for each IP
 
 # TODO: write code for creating a page for time.html
 # TEMPLATE semi-static / semi-dynamic
+@app.route("/time.html")
+def clock():
+    with open("time.html") as f:
+        s = f.read()
+    s = s.replace("REPLACE_ME", str(time.time()))
+    return s
 
 # TODO: create a dynamic page ha.html
 # DYNAMIC
+@app.route("/ha.html")
+def laugh():
+    return "ha "*1000
 
 # STATIC
 # @ operator is called a "decorator"
diff --git a/lecture_material/21-classification/21-classification.ipynb b/lecture_material/21-classification/21-classification.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..f04482d33881d52351d29e1931ca24ea54d2f7f5
--- /dev/null
+++ b/lecture_material/21-classification/21-classification.ipynb
@@ -0,0 +1,4303 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f53db4d6",
+   "metadata": {},
+   "source": [
+    "# Classification"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "cbd48a28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from sklearn import datasets\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.linear_model import LinearRegression, LogisticRegression\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "\n",
+    "# new import statements\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+    "from sklearn.metrics import recall_score, precision_score, balanced_accuracy_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "cff661e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = datasets.load_iris()\n",
+    "df = pd.DataFrame(data[\"data\"], \\\n",
+    "                  columns=data[\"feature_names\"]).drop(columns=[\"petal length (cm)\"])\n",
+    "df.insert(2, \"const\", 1)\n",
+    "df[\"variety\"] = data[\"target_names\"][data[\"target\"]]\n",
+    "df.insert(4, \"setosa\", df[\"variety\"] == \"setosa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "de38eb62",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>setosa</th>\n",
+       "      <th>variety</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal length (cm)  sepal width (cm)  const  petal width (cm)  setosa  \\\n",
+       "82                 5.8               2.7      1               1.2   False   \n",
+       "134                6.1               2.6      1               1.4   False   \n",
+       "114                5.8               2.8      1               2.4   False   \n",
+       "42                 4.4               3.2      1               0.2    True   \n",
+       "109                7.2               3.6      1               2.5   False   \n",
+       "57                 4.9               2.4      1               1.0   False   \n",
+       "1                  4.9               3.0      1               0.2    True   \n",
+       "70                 5.9               3.2      1               1.8   False   \n",
+       "25                 5.0               3.0      1               0.2    True   \n",
+       "84                 5.4               3.0      1               1.5   False   \n",
+       "\n",
+       "        variety  \n",
+       "82   versicolor  \n",
+       "134   virginica  \n",
+       "114   virginica  \n",
+       "42       setosa  \n",
+       "109   virginica  \n",
+       "57   versicolor  \n",
+       "1        setosa  \n",
+       "70   versicolor  \n",
+       "25       setosa  \n",
+       "84   versicolor  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "train, test = train_test_split(df, test_size=10, random_state=5)\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c26bfa5",
+   "metadata": {},
+   "source": [
+    "### Three models\n",
+    "- Model 1: Predict petal width \n",
+    "    - regression problem\n",
+    "- Model 2 - part a: Predict whether flower is \"setosa\"\n",
+    "    - classification problem, specifically binary classification: True / False\n",
+    "- Model 2 - part b: Predict probablity of flower being \"setosa\"\n",
+    "    - classification problem, probablity between 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15da43ef-f77c-4821-b0be-bae18109c42c",
+   "metadata": {},
+   "source": [
+    "### Model 1: Predict petal width\n",
+    "\n",
+    "- regression problem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "89b77a26-58cb-448b-95a4-2e6fbd6cab44",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>setosa</th>\n",
+       "      <th>variety</th>\n",
+       "      <th>pet_width_predictions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.327769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.590835</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.279061</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.083889</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.889735</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.830818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.538569</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.155681</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.610022</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.895833</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal length (cm)  sepal width (cm)  const  petal width (cm)  setosa  \\\n",
+       "82                 5.8               2.7      1               1.2   False   \n",
+       "134                6.1               2.6      1               1.4   False   \n",
+       "114                5.8               2.8      1               2.4   False   \n",
+       "42                 4.4               3.2      1               0.2    True   \n",
+       "109                7.2               3.6      1               2.5   False   \n",
+       "57                 4.9               2.4      1               1.0   False   \n",
+       "1                  4.9               3.0      1               0.2    True   \n",
+       "70                 5.9               3.2      1               1.8   False   \n",
+       "25                 5.0               3.0      1               0.2    True   \n",
+       "84                 5.4               3.0      1               1.5   False   \n",
+       "\n",
+       "        variety  pet_width_predictions  \n",
+       "82   versicolor               1.327769  \n",
+       "134   virginica               1.590835  \n",
+       "114   virginica               1.279061  \n",
+       "42       setosa               0.083889  \n",
+       "109   virginica               1.889735  \n",
+       "57   versicolor               0.830818  \n",
+       "1        setosa               0.538569  \n",
+       "70   versicolor               1.155681  \n",
+       "25       setosa               0.610022  \n",
+       "84   versicolor               0.895833  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"petal width (cm)\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "reg_model = LinearRegression(fit_intercept=False)\n",
+    "# 2. fit using train data\n",
+    "reg_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"pet_width_predictions\"] = reg_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c9e6d83d-5a85-4d17-9d42-5084e4cf39dd",
+   "metadata": {},
+   "source": [
+    "Review of `score` method that enables us compute R^2 score."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "00e73f15-5e19-4cce-8709-72e72a8dbdf4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.5805709195672956"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reg_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f09577b-8043-4bcb-8888-a0cb0e44d6ba",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 1: how does it predict?\n",
+    "\n",
+    "Recall that we can extract co-efficients using `<model obj>.coef_`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "74450e56-79aa-46c2-a119-1ec2a5295688",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0.71452794, -0.48708032, -1.5013766 ])"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "reg_model.coef_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8d15dd76-9b1f-4755-83d5-7d618de94a2a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0.71452794],\n",
+       "       [-0.48708032],\n",
+       "       [-1.5013766 ]])"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# converting into a vertical array / vector and assigning values to c\n",
+    "c = reg_model.coef_.reshape(-1, 1)\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "04093146-3121-4fa3-aef5-99110f9604ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[5.8, 2.7, 1. ],\n",
+       "       [6.1, 2.6, 1. ],\n",
+       "       [5.8, 2.8, 1. ],\n",
+       "       [4.4, 3.2, 1. ],\n",
+       "       [7.2, 3.6, 1. ],\n",
+       "       [4.9, 2.4, 1. ],\n",
+       "       [4.9, 3. , 1. ],\n",
+       "       [5.9, 3.2, 1. ],\n",
+       "       [5. , 3. , 1. ],\n",
+       "       [5.4, 3. , 1. ]])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e708d5b-e587-474c-b283-f93317d2e67a",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "9484e09c-3a8c-42c8-9610-2724a17a691d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[1.32776857],\n",
+       "       [1.59083498],\n",
+       "       [1.27906054],\n",
+       "       [0.0838893 ],\n",
+       "       [1.8897354 ],\n",
+       "       [0.83081752],\n",
+       "       [0.53856933],\n",
+       "       [1.15568121],\n",
+       "       [0.61002213],\n",
+       "       [0.8958333 ]])"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y = X @ c\n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "e323cf76-e268-49ff-a5e4-ba24de9bce47",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "82     1.327769\n",
+       "134    1.590835\n",
+       "114    1.279061\n",
+       "42     0.083889\n",
+       "109    1.889735\n",
+       "57     0.830818\n",
+       "1      0.538569\n",
+       "70     1.155681\n",
+       "25     0.610022\n",
+       "84     0.895833\n",
+       "Name: pet_width_predictions, dtype: float64"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"pet_width_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b63cf4e4-f3a5-4003-971f-5cefc27e18bf",
+   "metadata": {},
+   "source": [
+    "## LogisticRegression\n",
+    "\n",
+    "- classification model\n",
+    "- predict categorical labels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f2797a78-dc6c-4f8c-bce5-6dfe01cfcd80",
+   "metadata": {},
+   "source": [
+    "### Model 2 - part a: Predict whether flower is \"setosa\"\n",
+    "\n",
+    "- classification problem, specifically binary classification: True / False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "11161b96-7c7a-426c-b22c-2c7709c047a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>setosa</th>\n",
+       "      <th>variety</th>\n",
+       "      <th>pet_width_predictions</th>\n",
+       "      <th>setosa_predictions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.327769</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.590835</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.279061</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.083889</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.889735</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.830818</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.538569</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.155681</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.610022</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.895833</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal length (cm)  sepal width (cm)  const  petal width (cm)  setosa  \\\n",
+       "82                 5.8               2.7      1               1.2   False   \n",
+       "134                6.1               2.6      1               1.4   False   \n",
+       "114                5.8               2.8      1               2.4   False   \n",
+       "42                 4.4               3.2      1               0.2    True   \n",
+       "109                7.2               3.6      1               2.5   False   \n",
+       "57                 4.9               2.4      1               1.0   False   \n",
+       "1                  4.9               3.0      1               0.2    True   \n",
+       "70                 5.9               3.2      1               1.8   False   \n",
+       "25                 5.0               3.0      1               0.2    True   \n",
+       "84                 5.4               3.0      1               1.5   False   \n",
+       "\n",
+       "        variety  pet_width_predictions  setosa_predictions  \n",
+       "82   versicolor               1.327769               False  \n",
+       "134   virginica               1.590835               False  \n",
+       "114   virginica               1.279061               False  \n",
+       "42       setosa               0.083889                True  \n",
+       "109   virginica               1.889735               False  \n",
+       "57   versicolor               0.830818               False  \n",
+       "1        setosa               0.538569                True  \n",
+       "70   versicolor               1.155681               False  \n",
+       "25       setosa               0.610022                True  \n",
+       "84   versicolor               0.895833               False  "
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"setosa\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "cls_model = LogisticRegression(fit_intercept=False)\n",
+    "# 2. fit using train data\n",
+    "cls_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"setosa_predictions\"] = cls_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c5345fc0-1529-4647-8a45-28e118f76457",
+   "metadata": {},
+   "source": [
+    "What is the accuracy? That is what percent of the time is it correct?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "c91f47a7-9cb7-4221-ac46-08df8c0ad0b7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cls_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9ac0b30e-ed20-4f97-a349-453415ead0b0",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 2 - part a: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "418eea3e-440c-4ed2-a3cd-db4b9e6f3d17",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-2.42108094],\n",
+       "       [ 3.90002306],\n",
+       "       [ 0.75064911]])"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cls_model.coef_.reshape(-1, 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "716b05d5-da8c-4d9b-a550-f8cdba9b9f75",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# converting into a vertical array / vector and assigning values to c\n",
+    "c = cls_model.coef_.T"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "5820895b-c717-4fb4-a143-0624c01456c3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[5.8, 2.7, 1. ],\n",
+       "       [6.1, 2.6, 1. ],\n",
+       "       [5.8, 2.8, 1. ],\n",
+       "       [4.4, 3.2, 1. ],\n",
+       "       [7.2, 3.6, 1. ],\n",
+       "       [4.9, 2.4, 1. ],\n",
+       "       [4.9, 3. , 1. ],\n",
+       "       [5.9, 3.2, 1. ],\n",
+       "       [5. , 3. , 1. ],\n",
+       "       [5.4, 3. , 1. ]])"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c2df8ec5-5b45-4447-910a-9e63d4e01178",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "88494439-49ce-46fc-8eb8-ac5d20176484",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-2.76155804],\n",
+       "       [-3.87788463],\n",
+       "       [-2.37155574],\n",
+       "       [ 2.5779668 ],\n",
+       "       [-2.6410506 ],\n",
+       "       [-1.75259212],\n",
+       "       [ 0.58742172],\n",
+       "       [-1.05365461],\n",
+       "       [ 0.34531362],\n",
+       "       [-0.62311875]])"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X @ c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4f4fafed-27bf-4a68-b016-8f97dccbb7de",
+   "metadata": {},
+   "source": [
+    "Negative values => False and positive => True."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d6fe5a6e-655b-40f1-ab01-b4f851f2830a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[False],\n",
+       "       [False],\n",
+       "       [False],\n",
+       "       [ True],\n",
+       "       [False],\n",
+       "       [False],\n",
+       "       [ True],\n",
+       "       [False],\n",
+       "       [ True],\n",
+       "       [False]])"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X @ c > 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "fee4fe00-05f8-4f57-b123-f909f1fb2387",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "82     False\n",
+       "134    False\n",
+       "114    False\n",
+       "42      True\n",
+       "109    False\n",
+       "57     False\n",
+       "1       True\n",
+       "70     False\n",
+       "25      True\n",
+       "84     False\n",
+       "Name: setosa_predictions, dtype: bool"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"setosa_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "07907871-200f-43b1-ad93-bcc12b1c3207",
+   "metadata": {},
+   "source": [
+    "### Model 2 - part b: Predict probablity of flower being \"setosa\"\n",
+    "\n",
+    "- classification problem, probablity between 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "66425a0c-3f21-415f-9f6b-f4d7db983c4e",
+   "metadata": {},
+   "source": [
+    "#### `<model object>.predict_proba(X)`\n",
+    "\n",
+    "- Calibrated probabilities of classification.\n",
+    "- returns a numpy array of probabilities (that it is True):\n",
+    "    - [[False probablity, True probablity], ...]\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html#sklearn.calibration.CalibratedClassifierCV.predict_proba"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "30f620cf-a963-44d4-b8bc-2af6a14f39d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.9405628 , 0.0594372 ],\n",
+       "       [0.97972503, 0.02027497],\n",
+       "       [0.91463241, 0.08536759],\n",
+       "       [0.07056997, 0.92943003],\n",
+       "       [0.93345725, 0.06654275],\n",
+       "       [0.85227945, 0.14772055],\n",
+       "       [0.35722665, 0.64277335],\n",
+       "       [0.74147607, 0.25852393],\n",
+       "       [0.41451931, 0.58548069],\n",
+       "       [0.65092753, 0.34907247]])"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cls_model.predict_proba(test[xcols])  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3659a312-2d34-4c65-a656-e03bdabe9b04",
+   "metadata": {},
+   "source": [
+    "Extract just the True probablities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "94c7e6de-43de-430e-aa52-76219849a120",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.0594372 , 0.02027497, 0.08536759, 0.92943003, 0.06654275,\n",
+       "       0.14772055, 0.64277335, 0.25852393, 0.58548069, 0.34907247])"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cls_model.predict_proba(test[xcols])[:, 1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "id": "d6160d0c-bb89-4a5e-a0f5-a79e61c0325a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>setosa</th>\n",
+       "      <th>variety</th>\n",
+       "      <th>pet_width_predictions</th>\n",
+       "      <th>setosa_predictions</th>\n",
+       "      <th>setosa_prob</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.327769</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.059437</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.590835</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.020275</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.279061</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.085368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.083889</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.929430</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.889735</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.066543</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.830818</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.147721</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.538569</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.642773</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.155681</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.258524</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.610022</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.585481</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.895833</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.349072</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal length (cm)  sepal width (cm)  const  petal width (cm)  setosa  \\\n",
+       "82                 5.8               2.7      1               1.2   False   \n",
+       "134                6.1               2.6      1               1.4   False   \n",
+       "114                5.8               2.8      1               2.4   False   \n",
+       "42                 4.4               3.2      1               0.2    True   \n",
+       "109                7.2               3.6      1               2.5   False   \n",
+       "57                 4.9               2.4      1               1.0   False   \n",
+       "1                  4.9               3.0      1               0.2    True   \n",
+       "70                 5.9               3.2      1               1.8   False   \n",
+       "25                 5.0               3.0      1               0.2    True   \n",
+       "84                 5.4               3.0      1               1.5   False   \n",
+       "\n",
+       "        variety  pet_width_predictions  setosa_predictions  setosa_prob  \n",
+       "82   versicolor               1.327769               False     0.059437  \n",
+       "134   virginica               1.590835               False     0.020275  \n",
+       "114   virginica               1.279061               False     0.085368  \n",
+       "42       setosa               0.083889                True     0.929430  \n",
+       "109   virginica               1.889735               False     0.066543  \n",
+       "57   versicolor               0.830818               False     0.147721  \n",
+       "1        setosa               0.538569                True     0.642773  \n",
+       "70   versicolor               1.155681               False     0.258524  \n",
+       "25       setosa               0.610022                True     0.585481  \n",
+       "84   versicolor               0.895833               False     0.349072  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test[\"setosa_prob\"] = cls_model.predict_proba(test[xcols])[:, 1]\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0fb10388-5f52-4774-a2fd-9373404d4df8",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 2 - part b: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "d81c4d29-4dfc-423e-9612-5147a20a9ade",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f5a78793820>]"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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0evRozZo1S2VlZZo0aZIkacKECUpLS9PMmTMlSTfddJOee+45jRgxQpmZmdq1a5cee+wx3XTTTb5QAgDt7R/rDqqy2quBKbEa2YvTeQEr+R1Gxo0bp2PHjmn69OnKz8/X8OHDtWDBAt+g1ry8vHpHQh599FHZbDY9+uijOnTokLp166abbrpJv/rVr1pvKwDAD8YY/X1VniTp9kt7yWazWVwR0LHZTGN9JQHE5XIpPj5eJSUldNkAOG9r9xfpm7/PVVS4Q6t+do1iI8OtLgkISc39/uY8NgAdzlurDkiSbhjanSACBADCCIAOpbSyWv/ZdESS9F1O5wUCAmEEQIfyn01HVFHtUd9unRi4CgQIwgiADuWt1bVdNN+9pCcDV4EAQRgB0GHsOlqqjQeKFWa36esXp1ldDoA6hBEAHca762snObvqgm7MuAoEEMIIgA7B6zV6d8MhSeKoCBBgCCMAOoS1eSd08ESFYpxhyh6UfO4VALQbwgiADuGf62qPiowdnKLIcC5FAQQSwgiAkFdV49G8TbXjRb4+gi4aINAQRgCEvKXbjslVWaOUuEhl9ulqdTkAvoQwAiDkvbu+tovmluGpctiZWwQINIQRACGtpLxaH247Kkm6lS4aICARRgCEtPlfHJHb49XAlFgN6s5Vv4FARBgBENL+VXcWDUdFgMBFGAEQsg4UlWvVviLZbLXjRQAEJsIIgJD17421p/Nm9emq7vFRFlcDoDGEEQAha/7nRyRJNw3jqAgQyAgjAELS/uNl2nzYJYfdppyLUqwuB0ATCCMAQtIHX+RLki7t00VdOkVYXA2AphBGAISkD+q6aMYO7m5xJQDOhTACIOQcPFGujQdLZLOJLhogCBBGAIScBXVdNKMzuqhbrNPiagCcC2EEQMg5dRbN9UPoogGCAWEEQEg5UlKhdXnFkqTrBtNFAwQDwgiAkHKqi2ZUr85Kjou0uBoAzUEYARBSPvi8NoyMpYsGCBqEEQAh46irUqv3F0miiwYIJoQRACFj4eZ8GSMNT09QWgLXogGCBWEEQMiYX9dFc/0QjooAwYQwAiAkFJW5tXLvcUnMugoEG8IIgJDw4baj8hrpwu5xSu8SbXU5APxAGAEQEhZvKZAkZV+YbHElAPxFGAEQ9CqrPfp45zFJ0tcGEUaAYEMYARD0cvccV7nbo+Q4pwanxVldDgA/EUYABL0lW+u6aAYly2azWVwNAH8RRgAENWOMFm85KonxIkCwIowACGqbD7uU76pUdIRDWX26Wl0OgBYgjAAIaovqzqK5on+iIsMdFlcDoCUIIwCC2uIzxosACE6EEQBB63BxhTYfdslmk746MMnqcgC0EGEEQNA6dRbNyJ6d1TXGaXE1AFqKMAIgaC3eylk0QCggjAAISierapS7u/bCeIwXAYIbYQRAUPpkxzG5PV71Tuykvt06WV0OgPNAGAEQlE510VwzMIlZV4EgRxgBEHS8XqOPdtSGka8O4iwaINgRRgAEnc2HXSo86VanCIdG9epidTkAzhNhBEDQWbq99qjI5f0TFRHGnzEg2PEpBhB0ltWFka8MoIsGCAWEEQBB5USZW+sPFEuSvjKgm7XFAGgVhBEAQeXjncdkjDQwJVbd46OsLgdAKyCMAAgqy7Yfk0QXDRBKCCMAgkbtKb2nwghdNECoIIwACBqbDpWoqMytWGeYRvbqbHU5AFoJYQRA0Fi67fQpveEO/nwBoYJPM4Cgsayui+ZqxosAIaVFYWT27NnKyMhQZGSkMjMztWrVqiaXLy4u1pQpU9S9e3c5nU5dcMEFmj9/fosKBtAxHT9ZpU0HiyVJVzFeBAgpYf6uMHfuXE2dOlVz5sxRZmamZs2apZycHG3fvl1JSWf/b8XtdutrX/uakpKS9I9//ENpaWnav3+/EhISWqN+AB3EqVN6L+wep+S4SKvLAdCK/A4jzz33nO666y5NmjRJkjRnzhzNmzdPr776qh5++OGzln/11VdVVFSkFStWKDw8XJKUkZFxflUD6HCWbuMsGiBU+dVN43a7tXbtWmVnZ59+Abtd2dnZys3NbXCdf//738rKytKUKVOUnJyswYMH68knn5TH42n0faqqquRyuerdAHRcHq/RxzvrxosMZLwIEGr8CiOFhYXyeDxKTk6u156cnKz8/PwG19mzZ4/+8Y9/yOPxaP78+Xrsscf0m9/8Rr/85S8bfZ+ZM2cqPj7ed0tPT/enTAAhZtPBYhWXVys2Mkwj0hOsLgdAK2vzs2m8Xq+SkpL0xz/+USNHjtS4ceP0s5/9THPmzGl0nWnTpqmkpMR3O3DgQFuXCSCAfbKzUJJ0eb9EhXFKLxBy/BozkpiYKIfDoYKCgnrtBQUFSklJaXCd7t27Kzw8XA6Hw9c2aNAg5efny+12KyIi4qx1nE6nnE6nP6UBCGGf1HXRXN4/0eJKALQFv/6LERERoZEjR2rJkiW+Nq/XqyVLligrK6vBdS677DLt2rVLXq/X17Zjxw517969wSACAGcqrazW+rxiSdKV/Rm8CoQiv493Tp06VS+//LLeeOMNbd26Vffee6/Kysp8Z9dMmDBB06ZN8y1/7733qqioSPfdd5927NihefPm6cknn9SUKVNabysAhKzP9hSpxmuU0TVa6V2irS4HQBvw+9TecePG6dixY5o+fbry8/M1fPhwLViwwDeoNS8vT3b76YyTnp6uhQsX6oEHHtDQoUOVlpam++67Tw899FDrbQWAkHWqi+YKjooAIctmjDFWF3EuLpdL8fHxKikpUVxcnNXlAGhHVz+7THsLy/THO0bq2osaHpsGIDA19/ubYekAAtaBonLtLSyTw27TpX27Wl0OgDZCGAEQsJbvqj2ld0R6guIiwy2uBkBbIYwACFiMFwE6BsIIgIDk8Rotr5vs7IoLmF8ECGWEEQABadPBYrkqaxQXGaahafFWlwOgDRFGAASkU0dFxvRlCngg1PEJBxCQPqGLBugwCCMAAk5pZbXW5Z2QxBTwQEdAGAEQcJgCHuhYCCMAAs5yTukFOhTCCICAc2q8yOX9GS8CdASEEQAB5UBRufbUTQGfxRTwQIdAGAEQUJgCHuh4CCMAAgpTwAMdD2EEQMDweI0+3XVcEvOLAB0JYQRAwPj8UIlKKqoVyxTwQIdCGAEQMD7ZUdtFcxlTwAMdCp92AAGDKeCBjokwAiAgnKyqYQp4oIMijAAICJ/tPs4U8EAHRRgBEBBOndLLrKtAx0MYARAQfONF6KIBOhzCCADLHTzBFPBAR0YYAWC55TuZAh7oyAgjACzHVXqBjo0wAsBSHq/xXRyP8SJAx0QYAWCpM6eAH9aDKeCBjogwAsBSy3cyBTzQ0fHJB2Cpj5kCHujwCCMALHOyqkbr9tdOAX9FP8aLAB0VYQSAZU5NAd+ra7R6dmUKeKCjIowAsMzps2joogE6MsIIAMt8XDd4lVN6gY6NMALAEgdPlGvPMaaAB0AYAWCRU1PAD2cKeKDDI4wAsMTpq/QyXgTo6AgjANrdmVPAX3kB40WAjo4wAqDdbTpYrJKKasVFhmloGlPAAx0dYQRAuzvVRXNZP6aAB0AYAWCBTzilF8AZCCMA2lVpZbXW5RVLYvAqgFqEEQDtasXu4/J4jfokdlJ6F6aAB0AYAdDOTnfRcFQEQC3CCIB2dXp+EcaLAKhFGAHQbvYfL9P+4+UKdzAFPIDTCCMA2s3HdUdFLu7ZWZ2cYRZXAyBQEEYAtJtPdtSOF2HWVQBnIowAaBfVHq9ydx+XJF3JeBEAZyCMAGgXGw4Uq7SqRp2jw3VRapzV5QAIIIQRAO3iVBfN5f27yW63WVwNgEBCGAHQLj72ndLL/CIA6iOMAGhzxeVubTpYLInxIgDORhgB0OY+3XVcXiNdkByjlPhIq8sBEGAIIwDaHFfpBdAUwgiANmWMOWMKeMaLADgbYQRAm9pTWKZDxRWKCLMrszdTwAM4W4vCyOzZs5WRkaHIyEhlZmZq1apVzVrvrbfeks1m06233tqStwUQhD6uO6V3dEYXRUU4LK4GQCDyO4zMnTtXU6dO1YwZM7Ru3ToNGzZMOTk5Onr0aJPr7du3Tz/5yU90xRVXtLhYAMGHLhoA5+J3GHnuued01113adKkSbrwwgs1Z84cRUdH69VXX210HY/Ho9tvv12PP/64+vTpc14FAwgeVTUe3xTwDF4F0Bi/wojb7dbatWuVnZ19+gXsdmVnZys3N7fR9Z544gklJSVp8uTJzXqfqqoquVyuejcAwWft/hOqqPYoMcapQd1jrS4HQIDyK4wUFhbK4/EoOTm5XntycrLy8/MbXGf58uV65ZVX9PLLLzf7fWbOnKn4+HjfLT093Z8yAQSIZdtrx4tcdUE32WxMAQ+gYW16Nk1paanuuOMOvfzyy0pMbH5/8bRp01RSUuK7HThwoA2rBNBWlm2vHUv2lQF00QBoXJg/CycmJsrhcKigoKBee0FBgVJSUs5afvfu3dq3b59uuukmX5vX661947Awbd++XX379j1rPafTKafT6U9pAALMoeIK7Sg4KbuNKeABNM2vIyMREREaOXKklixZ4mvzer1asmSJsrKyzlp+4MCB+vzzz7Vhwwbf7eabb9bVV1+tDRs20P0ChLBTR0Uu7tlZ8dHhFlcDIJD5dWREkqZOnaqJEydq1KhRGj16tGbNmqWysjJNmjRJkjRhwgSlpaVp5syZioyM1ODBg+utn5CQIElntQMILUu31Y4XuXpgksWVAAh0foeRcePG6dixY5o+fbry8/M1fPhwLViwwDeoNS8vT3Y7E7sCHVlVjUcrdtfOL3LVBXTRAGiazRhjrC7iXFwul+Lj41VSUqK4uDirywFwDst3Fup/XlmppFinVj5yDWfSAB1Uc7+/OYQBoNWdGi/CKb0AmoMwAqDVLa0LI4wXAdAchBEArepAUbl2HyuTw27TZf24Hg2AcyOMAGhVp7poRvbqrPgoTukFcG6EEQCt6tQU8My6CqC5CCMAWk1ltUef1p3Se/UAxosAaB7CCIBWs2pvkSqrvUqJi9TAFK7SC6B5CCMAWs3SMy6Mxym9AJqLMAKgVRhjtHQbV+kF4D/CCIBWsfvYSe07Xq4Ih12Xc5VeAH4gjABoFYu21B4VyerbVTFOvy97BaADI4wAaBWLtxZIkrIvTLa4EgDBhjAC4LwdP1mldXknJEnZgzilF4B/CCMAztuH247KGGlwWpy6x0dZXQ6AIEMYAXDefF00g+iiAeA/wgiA81JZ7dHHO2pnXSWMAGgJwgiA85K7+7gqqj1KiYvURalxVpcDIAgRRgCcl0W+s2iSmHUVQIsQRgC0mNdrtITxIgDOE2EEQIt9cbhEBa4qdYpwKKtvV6vLARCkCCMAWmzxltqjIlde0E3OMIfF1QAIVoQRAC22aGvtFPB00QA4H4QRAC1y8ES5th5xyW6Trh7IrKsAWo4wAqBF/ru5totmZK/O6tIpwuJqAAQzwgiAFvngiyOSpLGDu1tcCYBgRxgB4LcCV6XW7K+9MN51g1MsrgZAsCOMAPDbws35MkYa0TNBqQlcGA/A+SGMAPDb/M9ru2iup4sGQCsgjADwy7HSKq3aWySJLhoArYMwAsAv/92SL6+RhvaIV3qXaKvLARACCCMA/PLB5/mSOIsGQOshjABotqIyt3L3HJckXT+ELhoArYMwAqDZFm3Jl8drdFFqnHp17WR1OQBCBGEEQLPNr+uiuX4IXTQAWg9hBECzlJRX69NdhZKksZxFA6AVEUYANMuirQWq8RoNTIlVn24xVpcDIIQQRgA0ywefcy0aAG2DMALgnIrK3PpoxzFJ0g1D6aIB0LoIIwDOad7nR1TjNRqcFqd+SbFWlwMgxBBGAJzTu+sPSZJuHZ5mcSUAQhFhBECT8o6Xa+3+E7LbpJuHpVpdDoAQRBgB0KR/1R0VuaxfopLiIi2uBkAoIowAaJQxRu9uqA0jXx9BFw2AtkEYAdCojQdLtLewTFHhDuVcxFk0ANoGYQRAo04NXL32omR1coZZXA2AUEUYAdCgao9X7288LEm6lS4aAG2IMAKgQct3Fup4mVtdO0Xoin6JVpcDIIQRRgA06J91XTQ3DUtVmIM/FQDaDn9hAJyltLJa/92cL4mzaAC0PcIIgLN88EW+qmq86tOtk4b2iLe6HAAhjjAC4Cxvrz4gSfrmxT1ks9ksrgZAqCOMAKhn19GTWlM3/fu3RvawuhwAHQBhBEA9b6+pPSry1YFJSmb6dwDtgDACwMdd49U/1x2UJI27pKfF1QDoKAgjAHw+3FagwpNudYt16uoB3awuB0AHQRgB4PPmqtMDV5lbBEB7adFfm9mzZysjI0ORkZHKzMzUqlWrGl325Zdf1hVXXKHOnTurc+fOys7ObnJ5ANbYf7xMH+84JptNum00XTQA2o/fYWTu3LmaOnWqZsyYoXXr1mnYsGHKycnR0aNHG1x+2bJlGj9+vJYuXarc3Fylp6fr2muv1aFDh867eACt528r8yRJV13QTT27RltcDYCOxGaMMf6skJmZqUsuuUQvvfSSJMnr9So9PV0/+tGP9PDDD59zfY/Ho86dO+ull17ShAkTmvWeLpdL8fHxKikpUVxcnD/lAmiGymqPLp25RMXl1Xpl4ihdMyjZ6pIAhIDmfn/7dWTE7XZr7dq1ys7OPv0Cdruys7OVm5vbrNcoLy9XdXW1unTp0ugyVVVVcrlc9W4A2s68TUdUXF6ttIQofWVAktXlAOhg/AojhYWF8ng8Sk6u/7+m5ORk5efnN+s1HnroIaWmptYLNF82c+ZMxcfH+27p6en+lAnAT3/5bL8k6bbMnnLYmXEVQPtq1+HyTz31lN566y3961//UmRk45MpTZs2TSUlJb7bgQMH2rFKoGNZl3dCGw4UK8Jh17hLCP4A2l+YPwsnJibK4XCooKCgXntBQYFSUlKaXPfZZ5/VU089pcWLF2vo0KFNLut0OuV0Ov0pDUALvfbpPknSzcNTlRjD5w5A+/PryEhERIRGjhypJUuW+Nq8Xq+WLFmirKysRtd75pln9Itf/EILFizQqFGjWl4tgFZ1uLhC8z8/Ikn6/mW9La4GQEfl15ERSZo6daomTpyoUaNGafTo0Zo1a5bKyso0adIkSdKECROUlpammTNnSpKefvppTZ8+XW+++aYyMjJ8Y0tiYmIUExPTipsCwF9/zt0vj9coq09XXZjKmWoArOF3GBk3bpyOHTum6dOnKz8/X8OHD9eCBQt8g1rz8vJkt58+4PL73/9ebrdb3/rWt+q9zowZM/Tzn//8/KoH0GLl7hr9fVXt3CLfv5yjIgCs4/c8I1ZgnhGg9b326V49/v4W9eoarQ8f/Apn0QBodW0yzwiA0FDt8epPn+yVJN11RR+CCABLEUaADuj9jYd1qLhCiTFOfWtkD6vLAdDBEUaADsbrNZrz0W5J0qTLMhQZ7rC4IgAdHWEE6GCWbj+qHQUnFeMM0/9c2svqcgCAMAJ0JMYY/XbJTknS7Zf2VHxUuMUVAQBhBOhQlm0/po0HSxQV7tBdV/SxuhwAkEQYAToMY4xmLd4hSZqQ1Yup3wEEDMII0EHUOypyJUdFAAQOwgjQAXi9Rs8tqj0qcgdHRQAEGMII0AHM/+KIPj9Uok4RDt3NUREAAYYwAoS4ao9Xzy7cLkm668o+HBUBEHAII0CIm7v6gPYdL1fXThG6kzNoAAQgwggQwsqqavRC3bwiP/pqP8U4/b5QNwC0OcIIEMJ+t2yXjpVWqVfXaN2WyWyrAAITYQQIUQeKyvVy3ZV5f3b9IEWE8XEHEJj46wSEqJkfbJW7xqvL+nXV1y5MtrocAGgUYQQIQSt2FWr+5/my26THbrxQNpvN6pIAoFGEESDEVNV49Oi7X0iS/ufSXhqYEmdxRQDQNMIIEGLmLNujPYVl6hbr1E9yBlhdDgCcE2EECCF7C8s0e9kuSdL0Gy9UXGS4xRUBwLkRRoAQ4fUaPfT/Nsld49UV/RN149DuVpcEAM1CGAFCxBu5+7Rqb5GiIxx68utDGLQKIGgQRoAQsK+wTE8v2CZJmjZ2oNK7RFtcEQA0H2EECHI1Hq9+8s5GVVZ7ldWnq25nplUAQYYwAgS5Fz/cpTX7TyjGGaZnvjVUdjvdMwCCC2EECGKr9xXpxQ9rL4T3q68PpnsGQFAijABB6kSZW/e/tUFeI31jRJpuGZ5mdUkA0CKEESAIebxGP35rvQ4VVyija7SeuHWw1SUBQIsRRoAgNGvxDn2ys1CR4XbNuWOkYpxhVpcEAC1GGAGCzIIvjujFD2tnWX3qG0O59gyAoEcYAYLIpoPFun/uBknS98Zk6NYRjBMBEPwII0CQOFJSoTvfWKPKaq++MqCbHr1hkNUlAUCrIIwAQeBEmVsTXlmlo6VVGpAcqxfHj1CYg48vgNDAXzMgwJVV1WjS66u18+hJpcRF6tVJlyiWq/ECCCGEESCAVbg9uvsva7ThQLESosP1l8mjlZYQZXVZANCqCCNAgKpwe3Tnn1fr013HFR3h0Gvfu0T9k2OtLgsAWh2TEwABqKyqRnf9eY1W7D6uThEOvfH90RrRs7PVZQFAmyCMAAGmqMytSa+t0saDJb4gMiqji9VlAUCbIYwAAeRAUbkmvrZKe46VqXN0uF6bNFrD0xOsLgsA2hRhBAgQq/cV6Qd/WauiMrdS4yP158mZ6pcUY3VZANDmCCOAxYwxmrv6gB577wtVe4wGp8XpTxMuUUp8pNWlAUC7IIwAFqpwe/TYe1/oH2sPSpLGDk7Rc98ZrqgIh8WVAUD7IYwAFtly2KX7567XjoKTstukB68doHuv6iu73WZ1aQDQrggjQDvzeI3+9Mke/ea/O+T2eJUYE6Hfjh+hMX0TrS4NACxBGAHa0dYjLj38/zZp48ESSVL2oGQ99c0hSoxxWlwZAFiHMAK0gxNlbr2wZKf++tl+1XiNYiPD9LPrB2ncJemy2eiWAdCxEUaANlRV49EbK/bpxQ93qbSyRpJ03UUpevyWi5Qcx9kyACARRoA2UePxat7nR/Tsf7frQFGFJGlgSqweveFCXd6fsSEAcCbCCNCKKqs9emfNAb38yV7lFZVLkpJinfpJzgB98+IecnCmDACchTACtIJjpVV6a1WeXl+xT8fL3JKkLp0iNGlMhiZf0VvREXzUAKAx/IUEWqjG49XS7cf09poD+nDbUXm8RpLUo3OU7r6yj749Mp3JywCgGQgjgB+8XqN1eSe04It8vbfxsI6VVvmeG9EzQd8bk6EbhnRXmMNuYZUAEFwII8A5VFZ7tHJvkRZuzteiLQX1AkhiTIS+cXEPfXtkD/VPjrWwSgAIXoQR4Es8XqPPD5Xo012FWrG7UGv2nVBVjdf3fKwzTNcMStLYId311YFJCucoCACcF8IIOrxjpVXacKBY6/NOaMOBYm08UKwyt6feMkmxTl0zKFnXDU5RVp+uiggjgABAayGMoMMoqajWzoJS7Sg4qR0FpXW3kyo8WXXWsrGRYcrq01WX9UvUZf26qm+3GGZKBYA20qIwMnv2bP36179Wfn6+hg0bphdffFGjR49udPl33nlHjz32mPbt26f+/fvr6aef1vXXX9/iooGGVHu8yi+p1IGich08UaGDJ8p1oO5nXlG5Clxnhw5Jstmk/kkxGpHeWcN7JmhEzwT1T4plThAAaCd+h5G5c+dq6tSpmjNnjjIzMzVr1izl5ORo+/btSkpKOmv5FStWaPz48Zo5c6ZuvPFGvfnmm7r11lu1bt06DR48uFU2AqGpstojV0W1Sr50Kypz61hpVe3tZJXvflG5W8Y0/Zrd4yPVPzlWA5Jj6n7Gql9SjDo5OUgIAFaxGXOuP9/1ZWZm6pJLLtFLL70kSfJ6vUpPT9ePfvQjPfzww2ctP27cOJWVlek///mPr+3SSy/V8OHDNWfOnGa9p8vlUnx8vEpKShQXF+dPuWhlxhi5PV5Ve4yqa7xye7xy1/2s9nhVXWPk9njkrjG+5yqqPapw16jc7VG526OKUz+r67dVVHtUWnk6dFRWe89d0JdEhNnVo3OUenSOVo/OUUqv+9mjc5T6dItRfFR4G/xWAAANae73t1//HXS73Vq7dq2mTZvma7Pb7crOzlZubm6D6+Tm5mrq1Kn12nJycvTuu+82+j5VVVWqqjp9SN3lcvlTZrP96ZM9Onii9rohxhidSmXGSKce1d4/3a4z2+ueMDJn3D/7NVTvNb78Pme368vv38j7mDNWOLPd4zXyGiOP19S/b2rnyajfZmrbjJHXq7PaPN7a1/Z4jWq8tSGkPdlsUlxkuOKjam8J0eFKiI5QUqxT3WKd6hZT+zMpzqnEGKe6REfITvcKAAQVv8JIYWGhPB6PkpOT67UnJydr27ZtDa6Tn5/f4PL5+fmNvs/MmTP1+OOP+1Nai8z7/IjW5xW3+fuEMofdpnCHTREOuyLC7Ipw2BUeZle44/T9qHC7oiPCFBXhUHS4Q9ERDkVFhCk6ovZ+ZF1bdIRDMc7ToSMuKlyxzjDCBQCEuIDsKJ82bVq9oykul0vp6emt/j7fGtlDY/p2lU21X3Y2m+T72rPZfPdr2+svc+rEijPPsGhouYbaTy//5fc4o/3U65+xUr33la3R97DbbXLYJbvNJofdJofNVttW99jua9NZbQ677fR69tpaTrWH1YWO8FOhw2FnkCcA4Lz5FUYSExPlcDhUUFBQr72goEApKSkNrpOSkuLX8pLkdDrldDr9Ka1Fbs/s1ebvAQAAmubXzE0REREaOXKklixZ4mvzer1asmSJsrKyGlwnKyur3vKStGjRokaXBwAAHYvf3TRTp07VxIkTNWrUKI0ePVqzZs1SWVmZJk2aJEmaMGGC0tLSNHPmTEnSfffdp6uuukq/+c1vdMMNN+itt97SmjVr9Mc//rF1twQAAAQlv8PIuHHjdOzYMU2fPl35+fkaPny4FixY4BukmpeXJ7v99AGXMWPG6M0339Sjjz6qRx55RP3799e7777LHCMAAEBSC+YZsQLzjAAAEHya+/3N1b4AAIClCCMAAMBShBEAAGApwggAALAUYQQAAFiKMAIAACxFGAEAAJYijAAAAEsRRgAAgKX8ng7eCqcmiXW5XBZXAgAAmuvU9/a5JnsPijBSWloqSUpPT7e4EgAA4K/S0lLFx8c3+nxQXJvG6/Xq8OHDio2Nlc1ma7XXdblcSk9P14EDB0L2mjdsY/AL9e2T2MZQEOrbJ4X+NrbF9hljVFpaqtTU1HoX0f2yoDgyYrfb1aNHjzZ7/bi4uJD8h3UmtjH4hfr2SWxjKAj17ZNCfxtbe/uaOiJyCgNYAQCApQgjAADAUh06jDidTs2YMUNOp9PqUtoM2xj8Qn37JLYxFIT69kmhv41Wbl9QDGAFAAChq0MfGQEAANYjjAAAAEsRRgAAgKUIIwAAwFIhH0Z+9atfacyYMYqOjlZCQkKDy+Tl5emGG25QdHS0kpKS9NOf/lQ1NTVNvm5RUZFuv/12xcXFKSEhQZMnT9bJkyfbYAv8s2zZMtlstgZvq1evbnS9r3zlK2ctf88997Rj5c2XkZFxVq1PPfVUk+tUVlZqypQp6tq1q2JiYvTNb35TBQUF7VSxf/bt26fJkyerd+/eioqKUt++fTVjxgy53e4m1wv0fTh79mxlZGQoMjJSmZmZWrVqVZPLv/POOxo4cKAiIyM1ZMgQzZ8/v50q9d/MmTN1ySWXKDY2VklJSbr11lu1ffv2Jtd5/fXXz9pfkZGR7VSxf37+85+fVevAgQObXCeY9p/U8N8Vm82mKVOmNLh8MOy/jz/+WDfddJNSU1Nls9n07rvv1nveGKPp06ere/fuioqKUnZ2tnbu3HnO1/X3s9wcIR9G3G63vv3tb+vee+9t8HmPx6MbbrhBbrdbK1as0BtvvKHXX39d06dPb/J1b7/9dm3evFmLFi3Sf/7zH3388ce6++6722IT/DJmzBgdOXKk3u3OO+9U7969NWrUqCbXveuuu+qt98wzz7RT1f574okn6tX6ox/9qMnlH3jgAb3//vt655139NFHH+nw4cP6xje+0U7V+mfbtm3yer36wx/+oM2bN+v555/XnDlz9Mgjj5xz3UDdh3PnztXUqVM1Y8YMrVu3TsOGDVNOTo6OHj3a4PIrVqzQ+PHjNXnyZK1fv1633nqrbr31Vn3xxRftXHnzfPTRR5oyZYo+++wzLVq0SNXV1br22mtVVlbW5HpxcXH19tf+/fvbqWL/XXTRRfVqXb58eaPLBtv+k6TVq1fX275FixZJkr797W83uk6g77+ysjINGzZMs2fPbvD5Z555Rr/97W81Z84crVy5Up06dVJOTo4qKysbfU1/P8vNZjqI1157zcTHx5/VPn/+fGO3201+fr6v7fe//72Ji4szVVVVDb7Wli1bjCSzevVqX9sHH3xgbDabOXToUKvXfj7cbrfp1q2beeKJJ5pc7qqrrjL33Xdf+xR1nnr16mWef/75Zi9fXFxswsPDzTvvvONr27p1q5FkcnNz26DC1vfMM8+Y3r17N7lMIO/D0aNHmylTpvgeezwek5qaambOnNng8t/5znfMDTfcUK8tMzPT/OAHP2jTOlvL0aNHjSTz0UcfNbpMY3+TAtGMGTPMsGHDmr18sO8/Y4y57777TN++fY3X623w+WDaf8YYI8n861//8j32er0mJSXF/PrXv/a1FRcXG6fTaf7+9783+jr+fpabK+SPjJxLbm6uhgwZouTkZF9bTk6OXC6XNm/e3Og6CQkJ9Y40ZGdny263a+XKlW1esz/+/e9/6/jx45o0adI5l/3b3/6mxMREDR48WNOmTVN5eXk7VNgyTz31lLp27aoRI0bo17/+dZPdamvXrlV1dbWys7N9bQMHDlTPnj2Vm5vbHuWet5KSEnXp0uWcywXiPnS73Vq7dm2937/dbld2dnajv//c3Nx6y0u1n8tg2l+SzrnPTp48qV69eik9PV233HJLo39zAsHOnTuVmpqqPn366Pbbb1deXl6jywb7/nO73frrX/+q73//+01enDWY9t+X7d27V/n5+fX2U3x8vDIzMxvdTy35LDdXUFwory3l5+fXCyKSfI/z8/MbXScpKaleW1hYmLp06dLoOlZ55ZVXlJOTc84LDd52223q1auXUlNTtWnTJj300EPavn27/vnPf7ZTpc334x//WBdffLG6dOmiFStWaNq0aTpy5Iiee+65BpfPz89XRETEWWOGkpOTA25/NWTXrl168cUX9eyzzza5XKDuw8LCQnk8ngY/Z9u2bWtwncY+l8Gwv7xer+6//35ddtllGjx4cKPLDRgwQK+++qqGDh2qkpISPfvssxozZow2b97cphcGbYnMzEy9/vrrGjBggI4cOaLHH39cV1xxhb744gvFxsaetXww7z9Jevfdd1VcXKzvfe97jS4TTPuvIaf2hT/7qSWf5eYKyjDy8MMP6+mnn25yma1bt55zgFUwack2Hzx4UAsXLtTbb799ztc/c7zLkCFD1L17d11zzTXavXu3+vbt2/LCm8mf7Zs6daqvbejQoYqIiNAPfvADzZw5M6CnaW7JPjx06JCuu+46ffvb39Zdd93V5LpW70PUmjJlir744osmx1RIUlZWlrKysnyPx4wZo0GDBukPf/iDfvGLX7R1mX4ZO3as7/7QoUOVmZmpXr166e2339bkyZMtrKxtvPLKKxo7dqxSU1MbXSaY9l8wCMow8uCDDzaZWCWpT58+zXqtlJSUs0YCnzrLIiUlpdF1vjxYp6amRkVFRY2uc75ass2vvfaaunbtqptvvtnv98vMzJRU+7/y9vgiO599mpmZqZqaGu3bt08DBgw46/mUlBS53W4VFxfXOzpSUFDQZvurIf5u4+HDh3X11VdrzJgx+uMf/+j3+7X3PmxMYmKiHA7HWWcvNfX7T0lJ8Wv5QPHDH/7QN6Dd3/8dh4eHa8SIEdq1a1cbVdd6EhISdMEFFzRaa7DuP0nav3+/Fi9e7PcRxWDaf9Lp77eCggJ1797d115QUKDhw4c3uE5LPsvNdl4jToLIuQawFhQU+Nr+8Ic/mLi4OFNZWdnga50awLpmzRpf28KFCwNqAKvX6zW9e/c2Dz74YIvWX758uZFkNm7c2MqVtb6//vWvxm63m6KiogafPzWA9R//+Ievbdu2bQE9gPXgwYOmf//+5rvf/a6pqalp0WsE0j4cPXq0+eEPf+h77PF4TFpaWpMDWG+88cZ6bVlZWQE7ANLr9ZopU6aY1NRUs2PHjha9Rk1NjRkwYIB54IEHWrm61ldaWmo6d+5sXnjhhQafD7b9d6YZM2aYlJQUU11d7dd6gb7/1MgA1meffdbXVlJS0qwBrP58lptd33mtHQT2799v1q9fbx5//HETExNj1q9fb9avX29KS0uNMbX/gAYPHmyuvfZas2HDBrNgwQLTrVs3M23aNN9rrFy50gwYMMAcPHjQ13bdddeZESNGmJUrV5rly5eb/v37m/Hjx7f79jVm8eLFRpLZunXrWc8dPHjQDBgwwKxcudIYY8yuXbvME088YdasWWP27t1r3nvvPdOnTx9z5ZVXtnfZ57RixQrz/PPPmw0bNpjdu3ebv/71r6Zbt25mwoQJvmW+vH3GGHPPPfeYnj17mg8//NCsWbPGZGVlmaysLCs24ZwOHjxo+vXrZ6655hpz8OBBc+TIEd/tzGWCaR++9dZbxul0mtdff91s2bLF3H333SYhIcF3Ftsdd9xhHn74Yd/yn376qQkLCzPPPvus2bp1q5kxY4YJDw83n3/+uVWb0KR7773XxMfHm2XLltXbX+Xl5b5lvryNjz/+uFm4cKHZvXu3Wbt2rfnud79rIiMjzebNm63YhCY9+OCDZtmyZWbv3r3m008/NdnZ2SYxMdEcPXrUGBP8++8Uj8djevbsaR566KGzngvG/VdaWur7zpNknnvuObN+/Xqzf/9+Y4wxTz31lElISDDvvfee2bRpk7nllltM7969TUVFhe81vvrVr5oXX3zR9/hcn+WWCvkwMnHiRCPprNvSpUt9y+zbt8+MHTvWREVFmcTERPPggw/WS8VLly41kszevXt9bcePHzfjx483MTExJi4uzkyaNMkXcALB+PHjzZgxYxp8bu/evfV+B3l5eebKK680Xbp0MU6n0/Tr18/89Kc/NSUlJe1YcfOsXbvWZGZmmvj4eBMZGWkGDRpknnzyyXpHsb68fcYYU1FRYf73f//XdO7c2URHR5uvf/3r9b7cA8lrr73W4L/ZMw9kBuM+fPHFF03Pnj1NRESEGT16tPnss898z1111VVm4sSJ9ZZ/++23zQUXXGAiIiLMRRddZObNm9fOFTdfY/vrtdde8y3z5W28//77fb+P5ORkc/3115t169a1f/HNMG7cONO9e3cTERFh0tLSzLhx48yuXbt8zwf7/jtl4cKFRpLZvn37Wc8F4/479d315dup7fB6veaxxx4zycnJxul0mmuuueasbe/Vq5eZMWNGvbamPsstZTPGmPPr6AEAAGi5Dj/PCAAAsBZhBAAAWIowAgAALEUYAQAAliKMAAAASxFGAACApQgjAADAUoQRAABgKcIIAACwFGEEAABYijACAAAsRRgBAACW+v84bpZZqD/2QAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def sigmoid(x):\n",
+    "    return 1 / (1 + np.exp(-x))\n",
+    "\n",
+    "x = np.arange(-10, 10, 0.1)\n",
+    "y = sigmoid(x)\n",
+    "plt.plot(x, y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "514b52df-fbe7-42e1-8705-e556bcb642d7",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a0326567-d140-4d07-a54a-6eb80d8949d5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0.0594372 ],\n",
+       "       [0.02027497],\n",
+       "       [0.08536759],\n",
+       "       [0.92943003],\n",
+       "       [0.06654275],\n",
+       "       [0.14772055],\n",
+       "       [0.64277335],\n",
+       "       [0.25852393],\n",
+       "       [0.58548069],\n",
+       "       [0.34907247]])"
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Predict the probability of True\n",
+    "sigmoid(X @ c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "025fa51c-a892-4761-a085-f0b279e21f69",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "82     0.059437\n",
+       "134    0.020275\n",
+       "114    0.085368\n",
+       "42     0.929430\n",
+       "109    0.066543\n",
+       "57     0.147721\n",
+       "1      0.642773\n",
+       "70     0.258524\n",
+       "25     0.585481\n",
+       "84     0.349072\n",
+       "Name: setosa_prob, dtype: float64"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"setosa_prob\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05949884",
+   "metadata": {},
+   "source": [
+    "### Model 3: Predict variety of flower\n",
+    "\n",
+    "- classification problem, specifically multi-class classification for `variety`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "c5b193b9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "      <th>petal width (cm)</th>\n",
+       "      <th>setosa</th>\n",
+       "      <th>variety</th>\n",
+       "      <th>pet_width_predictions</th>\n",
+       "      <th>setosa_predictions</th>\n",
+       "      <th>setosa_prob</th>\n",
+       "      <th>variety_predictions</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.327769</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.059437</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>134</th>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.590835</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.020275</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>114</th>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.279061</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.085368</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>4.4</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.083889</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.929430</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>virginica</td>\n",
+       "      <td>1.889735</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.066543</td>\n",
+       "      <td>virginica</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>57</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>2.4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.830818</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.147721</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.538569</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.642773</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>1.155681</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.258524</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>True</td>\n",
+       "      <td>setosa</td>\n",
+       "      <td>0.610022</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.585481</td>\n",
+       "      <td>setosa</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>5.4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>False</td>\n",
+       "      <td>versicolor</td>\n",
+       "      <td>0.895833</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.349072</td>\n",
+       "      <td>versicolor</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal length (cm)  sepal width (cm)  const  petal width (cm)  setosa  \\\n",
+       "82                 5.8               2.7      1               1.2   False   \n",
+       "134                6.1               2.6      1               1.4   False   \n",
+       "114                5.8               2.8      1               2.4   False   \n",
+       "42                 4.4               3.2      1               0.2    True   \n",
+       "109                7.2               3.6      1               2.5   False   \n",
+       "57                 4.9               2.4      1               1.0   False   \n",
+       "1                  4.9               3.0      1               0.2    True   \n",
+       "70                 5.9               3.2      1               1.8   False   \n",
+       "25                 5.0               3.0      1               0.2    True   \n",
+       "84                 5.4               3.0      1               1.5   False   \n",
+       "\n",
+       "        variety  pet_width_predictions  setosa_predictions  setosa_prob  \\\n",
+       "82   versicolor               1.327769               False     0.059437   \n",
+       "134   virginica               1.590835               False     0.020275   \n",
+       "114   virginica               1.279061               False     0.085368   \n",
+       "42       setosa               0.083889                True     0.929430   \n",
+       "109   virginica               1.889735               False     0.066543   \n",
+       "57   versicolor               0.830818               False     0.147721   \n",
+       "1        setosa               0.538569                True     0.642773   \n",
+       "70   versicolor               1.155681               False     0.258524   \n",
+       "25       setosa               0.610022                True     0.585481   \n",
+       "84   versicolor               0.895833               False     0.349072   \n",
+       "\n",
+       "    variety_predictions  \n",
+       "82           versicolor  \n",
+       "134           virginica  \n",
+       "114          versicolor  \n",
+       "42               setosa  \n",
+       "109           virginica  \n",
+       "57           versicolor  \n",
+       "1                setosa  \n",
+       "70           versicolor  \n",
+       "25               setosa  \n",
+       "84           versicolor  "
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# PREDICT: which of the 3 varieties is a particular Iris?\n",
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "mult_model = LogisticRegression(fit_intercept=False)\n",
+    "# 2. fit using train data\n",
+    "mult_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"variety_predictions\"] = mult_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6f289e0",
+   "metadata": {},
+   "source": [
+    "What is the accuracy?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "aadff6a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mult_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6b7b461",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 3: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "618e9526",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-1.80097204,  3.01989635,  0.69404974],\n",
+       "       [ 0.64875706, -1.46308696,  1.04354373],\n",
+       "       [ 1.15221498, -1.55680939, -1.73759347]])"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mult_model.coef_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0452b487",
+   "metadata": {},
+   "source": [
+    "#### Why take a transpose? \n",
+    "Recall from simpler model that the orientation of the array does not match with what we want for c (vertical vector). This still applies for a model that predicts multiple labels - so we still need a transpose - that is before transpose, each row represents the co-efficients for a single label (variety in this example)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "id": "6b2975ed",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-1.80097204,  0.64875706,  1.15221498],\n",
+       "       [ 3.01989635, -1.46308696, -1.55680939],\n",
+       "       [ 0.69404974,  1.04354373, -1.73759347]])"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# taking transpose and assigning values to c\n",
+    "c = mult_model.coef_.T\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d9cafb1",
+   "metadata": {},
+   "source": [
+    "After transposing, each **column** contains coefficients for scoring a different `variety`. \n",
+    "\n",
+    "If you add \"petal length (cm)\" as one more input feature, you will get an initial `3 x 4` matrix for the co-efficients, which is why we need to take a transpose and make it into a `4 x 3` matrix. Try this yourself."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "4347f214",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(3, 3)"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "c.shape # 3 varities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75cb66ce",
+   "metadata": {},
+   "source": [
+    "How can we determine name of each `variety`? \n",
+    "\n",
+    "#### `<model object>.classes_`\n",
+    "\n",
+    "- ndarray containing label for each class.\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "c5dc7d56",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['setosa', 'versicolor', 'virginica'], dtype=object)"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mult_model.classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "f3fd17a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[5.8, 2.7, 1. ],\n",
+       "       [6.1, 2.6, 1. ],\n",
+       "       [5.8, 2.8, 1. ],\n",
+       "       [4.4, 3.2, 1. ],\n",
+       "       [7.2, 3.6, 1. ],\n",
+       "       [4.9, 2.4, 1. ],\n",
+       "       [4.9, 3. , 1. ],\n",
+       "       [5.9, 3.2, 1. ],\n",
+       "       [5. , 3. , 1. ],\n",
+       "       [5.4, 3. , 1. ]])"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8b09ee5",
+   "metadata": {},
+   "source": [
+    "Extracting \"setosa\" co-efficients."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "d7fceffe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-1.80097204],\n",
+       "       [ 3.01989635],\n",
+       "       [ 0.69404974]])"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we need a 2-D array\n",
+    "setosa_c = mult_model.coef_.T[:, [0]]\n",
+    "setosa_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a70c00c",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction just for \"setosa\" `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "89bd4836",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-1.59786793],\n",
+       "       [-2.44014918],\n",
+       "       [-1.2958783 ],\n",
+       "       [ 2.43344109],\n",
+       "       [-1.40132207],\n",
+       "       [-0.88296201],\n",
+       "       [ 0.9289758 ],\n",
+       "       [-0.26801696],\n",
+       "       [ 0.7488786 ],\n",
+       "       [ 0.02848978]])"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X @ setosa_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f1dc05ce",
+   "metadata": {},
+   "source": [
+    "Repeating for other varities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "9b2af9c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0.85599987],\n",
+       "       [ 1.19693568],\n",
+       "       [ 0.70969118],\n",
+       "       [-0.78380349],\n",
+       "       [ 0.44748149],\n",
+       "       [ 0.71104461],\n",
+       "       [-0.16680757],\n",
+       "       [ 0.1893321 ],\n",
+       "       [-0.10193186],\n",
+       "       [ 0.15757096]])"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# versicolor scores\n",
+    "versicolor_c = mult_model.coef_.T[:, [1]] \n",
+    "X @ versicolor_c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "096c4a7f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0.74186806],\n",
+       "       [ 1.24321349],\n",
+       "       [ 0.58618712],\n",
+       "       [-1.6496376 ],\n",
+       "       [ 0.95384058],\n",
+       "       [ 0.1719174 ],\n",
+       "       [-0.76216824],\n",
+       "       [ 0.07868487],\n",
+       "       [-0.64694674],\n",
+       "       [-0.18606075]])"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# virginica scores\n",
+    "virginica_c = mult_model.coef_.T[:, [2]] \n",
+    "X @ virginica_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f817bd39",
+   "metadata": {},
+   "source": [
+    "#### Review: how does `MATRIX @ vertical vector` work?\n",
+    "\n",
+    "- MATRIX (data) @ vertical vector (coef) gets computed using the below LOOP:\n",
+    "    - For each DATA ROW of MATRIX\n",
+    "        - ROW (horizontal) @ c (vertical)\n",
+    "\n",
+    "#### How does `MATRIX 1 @ MATRIX 2` work?\n",
+    "\n",
+    "- MATRIX 1 (data) @ MATRIX 2 (coef) gets computed using the below NESTED LOOP:\n",
+    "    - For each DATA ROW of MATRIX 1\n",
+    "        - For each COEFFICIENT COLUMN of MATRIX 2\n",
+    "            - compute the vector @ vector (dot product)\n",
+    "            \n",
+    "Computing all predictions.            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "96e6c1ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-1.59786793,  0.85599987,  0.74186806],\n",
+       "       [-2.44014918,  1.19693568,  1.24321349],\n",
+       "       [-1.2958783 ,  0.70969118,  0.58618712],\n",
+       "       [ 2.43344109, -0.78380349, -1.6496376 ],\n",
+       "       [-1.40132207,  0.44748149,  0.95384058],\n",
+       "       [-0.88296201,  0.71104461,  0.1719174 ],\n",
+       "       [ 0.9289758 , -0.16680757, -0.76216824],\n",
+       "       [-0.26801696,  0.1893321 ,  0.07868487],\n",
+       "       [ 0.7488786 , -0.10193186, -0.64694674],\n",
+       "       [ 0.02848978,  0.15757096, -0.18606075]])"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# all varities\n",
+    "c = mult_model.coef_.T\n",
+    "X @ c\n",
+    "# Largest score determines the classification prediction output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "c5312de8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "82     versicolor\n",
+       "134     virginica\n",
+       "114    versicolor\n",
+       "42         setosa\n",
+       "109     virginica\n",
+       "57     versicolor\n",
+       "1          setosa\n",
+       "70     versicolor\n",
+       "25         setosa\n",
+       "84     versicolor\n",
+       "Name: variety_predictions, dtype: object"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test[\"variety_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "915a84c0",
+   "metadata": {},
+   "source": [
+    "### `max`, `argmax` methods on `np.array` \n",
+    "\n",
+    "- `max`: returns max value\n",
+    "- `argmax`: returns index of the max value\n",
+    "- same idea for min, argmin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "9a176050",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "9"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = np.array([1, 2, 9, 8, 7])\n",
+    "a.max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "1d7a2214",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a.argmax()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5d1c730",
+   "metadata": {},
+   "source": [
+    "Let's convert `X @ c` to actual label predictions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "579d769c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "9"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# gives the index of tha max value\n",
+    "(X @ c).argmax()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "05e6c697",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 2, 1, 0, 2, 1, 0, 1, 0, 1])"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# we want max of each row\n",
+    "(X @ c).argmax(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "7d89d2f9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['setosa', 'versicolor', 'virginica'], dtype=object)"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mult_model.classes_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eea23815",
+   "metadata": {},
+   "source": [
+    "`<model obj>.classes_` can return labels given a list of indices."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "eee36c14",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['setosa', 'versicolor', 'virginica', 'setosa', 'versicolor',\n",
+       "       'virginica'], dtype=object)"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mult_model.classes_[[0, 1, 2, 0, 1, 2]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9056a031",
+   "metadata": {},
+   "source": [
+    "Putting `argmax` and `classes_` together."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "c953b4cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['versicolor', 'virginica', 'versicolor', 'setosa', 'virginica',\n",
+       "       'versicolor', 'setosa', 'versicolor', 'setosa', 'versicolor'],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mult_model.classes_[(X @ c).argmax(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "58f73217",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    versicolor\n",
+       "1     virginica\n",
+       "2    versicolor\n",
+       "3        setosa\n",
+       "4     virginica\n",
+       "5    versicolor\n",
+       "6        setosa\n",
+       "7    versicolor\n",
+       "8        setosa\n",
+       "9    versicolor\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.Series(mult_model.classes_[(X @ c).argmax(axis=1)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "3e98b6e4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "82     versicolor\n",
+       "134     virginica\n",
+       "114    versicolor\n",
+       "42         setosa\n",
+       "109     virginica\n",
+       "57     versicolor\n",
+       "1          setosa\n",
+       "70     versicolor\n",
+       "25         setosa\n",
+       "84     versicolor\n",
+       "Name: variety_predictions, dtype: object"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test[\"variety_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d7edd2f",
+   "metadata": {},
+   "source": [
+    "### Review: LinearRegression visualization\n",
+    "\n",
+    "- recall that we would draw a \"fit line\" to visualize how well LinearRegression performs when there is only one input feature (X)\n",
+    "    - it was hard to draw a visualization when we had more than one input features (X)"
+   ]
+  },
+  {
+   "attachments": {
+    "Visualization_goal.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "472263d6",
+   "metadata": {},
+   "source": [
+    "### Visualize Decision Boundaries\n",
+    "\n",
+    "- we can draw something called \"decision boundaries\" to visualize how well LogisticRegression performs when we only hae two input variables. For example: sepal length and sepal width.\n",
+    "\n",
+    "<div>\n",
+    "<img src=\"attachment:Visualization_goal.png\" width=\"500\"/>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa2490cc",
+   "metadata": {},
+   "source": [
+    "Recall that we can use `np.arange` to generate a range of numbers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "b331edc0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.arange(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "513615b0",
+   "metadata": {},
+   "source": [
+    "### `np.meshgrid(x1, x2, ...)`\n",
+    "\n",
+    "- Make N-D coordinate arrays given one-dimensional coordinate arrays x1, x2,…, xn.\n",
+    "- Returns an array of arrays.\n",
+    "- documentation: https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "9665b129",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X, Y = np.meshgrid(np.arange(10), np.arange(10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "cc8da130",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9],\n",
+       "       [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]])"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# in each cell, the number is the x-coordinate of that position\n",
+    "X "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "be8da772",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
+       "       [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],\n",
+       "       [2, 2, 2, 2, 2, 2, 2, 2, 2, 2],\n",
+       "       [3, 3, 3, 3, 3, 3, 3, 3, 3, 3],\n",
+       "       [4, 4, 4, 4, 4, 4, 4, 4, 4, 4],\n",
+       "       [5, 5, 5, 5, 5, 5, 5, 5, 5, 5],\n",
+       "       [6, 6, 6, 6, 6, 6, 6, 6, 6, 6],\n",
+       "       [7, 7, 7, 7, 7, 7, 7, 7, 7, 7],\n",
+       "       [8, 8, 8, 8, 8, 8, 8, 8, 8, 8],\n",
+       "       [9, 9, 9, 9, 9, 9, 9, 9, 9, 9]])"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# in each cell, the number is the y-coordinate of that position\n",
+    "Y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0eaf9fd3",
+   "metadata": {},
+   "source": [
+    "#### `Z = F(X, Y)`, where `F(X, Y) = X * Y`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "940e5158",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0,  0,  0,  0,  0,  0,  0,  0,  0,  0],\n",
+       "       [ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9],\n",
+       "       [ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18],\n",
+       "       [ 0,  3,  6,  9, 12, 15, 18, 21, 24, 27],\n",
+       "       [ 0,  4,  8, 12, 16, 20, 24, 28, 32, 36],\n",
+       "       [ 0,  5, 10, 15, 20, 25, 30, 35, 40, 45],\n",
+       "       [ 0,  6, 12, 18, 24, 30, 36, 42, 48, 54],\n",
+       "       [ 0,  7, 14, 21, 28, 35, 42, 49, 56, 63],\n",
+       "       [ 0,  8, 16, 24, 32, 40, 48, 56, 64, 72],\n",
+       "       [ 0,  9, 18, 27, 36, 45, 54, 63, 72, 81]])"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Z = X * Y    \n",
+    "Z"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "faa6f04f",
+   "metadata": {},
+   "source": [
+    "### Contour visualizations\n",
+    "\n",
+    "- enables us to visualize a 3-D structure like a mountain using 2-D visualization\n",
+    "- example: https://en.wikipedia.org/wiki/Contour_line#/media/File:Contour2D.svg\n",
+    "- for classification result:\n",
+    "    - we have True / False\n",
+    "    - so we will have a contour that has two plateaus:\n",
+    "        - a higher plateau for True\n",
+    "        - a lower plateau for False\n",
+    "    - x and y-coordinates will be the input features\n",
+    "        \n",
+    "### `plt.contourf(X, Y, Z, levels=<num>)`\n",
+    "\n",
+    "- enables us to produce contour lines and filled contours\n",
+    "    - larger the number => brighter the color\n",
+    "- `levels`: determines the number and positions of the contour lines / regions\n",
+    "- documentation: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.contourf.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "baeed9ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.contour.QuadContourSet at 0x7f5a76693040>"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# countourf plot with X, Y, Z\n",
+    "plt.contourf(X, Y, Z)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "3a730afe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.contour.QuadContourSet at 0x7f5a764ddfa0>"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# higher granularity, by adding levels=100\n",
+    "plt.contourf(X, Y, Z, levels=100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "f852a7c4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(fit_intercept=False)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(fit_intercept=False)</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "LogisticRegression(fit_intercept=False)"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cls_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "9c6e7bf0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>5.1</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>4.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>4.7</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4.6</td>\n",
+       "      <td>3.1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>3.6</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>145</th>\n",
+       "      <td>6.7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>146</th>\n",
+       "      <td>6.3</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>147</th>\n",
+       "      <td>6.5</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>148</th>\n",
+       "      <td>6.2</td>\n",
+       "      <td>3.4</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>149</th>\n",
+       "      <td>5.9</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>150 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     sepal length (cm)  sepal width (cm)  const\n",
+       "0                  5.1               3.5      1\n",
+       "1                  4.9               3.0      1\n",
+       "2                  4.7               3.2      1\n",
+       "3                  4.6               3.1      1\n",
+       "4                  5.0               3.6      1\n",
+       "..                 ...               ...    ...\n",
+       "145                6.7               3.0      1\n",
+       "146                6.3               2.5      1\n",
+       "147                6.5               3.0      1\n",
+       "148                6.2               3.4      1\n",
+       "149                5.9               3.0      1\n",
+       "\n",
+       "[150 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[xcols]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "b4ada454",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[0. , 0.1, 0.2, ..., 9.7, 9.8, 9.9],\n",
+       "       [0. , 0.1, 0.2, ..., 9.7, 9.8, 9.9],\n",
+       "       [0. , 0.1, 0.2, ..., 9.7, 9.8, 9.9],\n",
+       "       ...,\n",
+       "       [0. , 0.1, 0.2, ..., 9.7, 9.8, 9.9],\n",
+       "       [0. , 0.1, 0.2, ..., 9.7, 9.8, 9.9],\n",
+       "       [0. , 0.1, 0.2, ..., 9.7, 9.8, 9.9]])"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sepl, sepw = np.meshgrid(np.arange(0, 10, 0.1), np.arange(0, 10, 0.1))\n",
+    "sepl"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe81ddb2",
+   "metadata": {},
+   "source": [
+    "#### `predictions = F(sepl, sepw)`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "8b73ed58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>sepal length (cm)</th>\n",
+       "      <th>sepal width (cm)</th>\n",
+       "      <th>const</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.1</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.2</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.3</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.4</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   sepal length (cm)  sepal width (cm)  const\n",
+       "0                0.0               0.0      1\n",
+       "1                0.1               0.0      1\n",
+       "2                0.2               0.0      1\n",
+       "3                0.3               0.0      1\n",
+       "4                0.4               0.0      1"
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "predict_df = pd.DataFrame({\n",
+    "    'sepal length (cm)': sepl.reshape(-1),\n",
+    "    'sepal width (cm)': sepw.reshape(-1),\n",
+    "    'const': 1\n",
+    "})\n",
+    "predict_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "88404282",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ True,  True,  True, ...,  True,  True,  True])"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Z_predictions = cls_model.predict(predict_df)\n",
+    "Z_predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "296c2b67",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(100, 100)\n",
+      "(100, 100)\n",
+      "(10000,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(sepl.shape)\n",
+    "print(sepw.shape)\n",
+    "print(Z_predictions.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "2972e456",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.contour.QuadContourSet at 0x7f5a76379490>"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "532624e9",
+   "metadata": {},
+   "source": [
+    "#### How can we extract `AxesSubplot` object instance? We need to use a function called `plt.gca()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "b8d6fe5b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='sepal length (cm)', ylabel='sepal width (cm)'>"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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Gj95bgkkzJ+HZkc9qvC/jcgZ6t+uFiMBOWq/dolULODk5YcH0+RjYfQCGPDIE32/9HnHLF+Lp4UMAAF7eXtj06/+gUpVh1KCX8HiXxzDv7Xlwc3eDjc2DX+uvTHgVSqUS/SMeRURgJ1xLv4YmPk2westqnEg6gQHdnsDMCTPx3KjnMW7Kg91C9VxdkfjnYbw8ZAz6dngEi+ctxvQF09G7f28AwMJPFyHnbi6e7DkQsa/GYtR/RqOhZ0Njf7xVKITq9j9ZgNzcXLi7u2PY7pGwr2dv7nKIiEiLBqiPZ+yfhre/N5QOho98qIpVUBWroLRX1tpICkmnKlLh+pXr2FK8Ddm4q/FacV4xNvb9Bjk5OXBz071ji9uTiYjIojCgWBdO/RAREZFsMagQERGRbDGoEBERkWwxqBARkUkJEB78r+Xu3SA9PPh5C//8/PXHoEJERCZVgAKUCiqoimrnacckD6oiFUoFFfJRYNB1uOuHiIhMqhglOFOaDIdMB3jAA0oHpcbzZqhuEQQBqiIVsjKzcKY0GSUwrMU+gwoREZlcopAEFAOhN9vAVqEEwKBSdwkoFVQ4U5r84OduIAYVIiKqFYlCEo6XnIQLnKFgUKmzBAjIR4HBIynlGFSIiKjWlKAEd5Fj7jLIgnAxLREREckWgwoRERHJFoMKERERyRaDChEREckWgwoRERHJFoMKERERyRaDChEREckWgwoRERHJFoMKERERyRaDChEREckWgwoRERHJllmDikqlwqxZsxAUFAQnJycEBwdj3rx5EATBnGURERGRTJj1oYSLFi3CihUrsHbtWoSGhuLIkSOIjo6Gu7s7xo8fb87SiIiISAbMGlQOHDiAQYMGYcCAAQCAwMBAbNiwAYcPHzZnWURERCQTZp366d69O3bv3o3z588DAE6cOIH9+/fj8ccf13p+UVERcnNzNb6IiIio7jLriMrUqVORm5uLVq1aQalUQqVSYf78+RgxYoTW8+Pi4jB37txarpKIiIjMxawjKps2bcK6deuwfv16HD16FGvXrsWHH36ItWvXaj1/2rRpyMnJUX+lp6fXcsVERERUm8w6ojJ58mRMnToVw4YNAwC0a9cOly9fRlxcHEaNGlXlfAcHBzg4ONR2mURERGQmZh1RKSgogI2NZglKpRJlZWVmqoiIiIjkxKwjKk8++STmz58Pf39/hIaG4tixY1iyZAnGjBljzrKIiIhIJswaVD7++GPMmjULY8eOxa1bt+Dj44PXX38ds2fPNmdZREREJBNmDSqurq6Ij49HfHy8OcsgIiIimeKzfoiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2GFSIiIhIthhUiIiISLYYVIiIiEi2bKWcnJKSgo0bN+KPP/7A5cuXUVBQAE9PT4SHhyMqKgrPPPMMHBwcTFUrERERWRlRIypHjx5Fv379EB4ejv3796NLly6YOHEi5s2bh5EjR0IQBMyYMQM+Pj5YtGgRioqKTF03ERERWQFRIyrPPPMMJk+ejM2bN6N+/frVnvfXX39h6dKlWLx4MaZPn26sGomIiMhKiQoq58+fh52dXY3ndevWDd26dUNJSYnBhRERERGJmvoRE1IMOZ+IiIhIG0mLacslJibi999/x61bt1BWVqbx2pIlS4xSGBEREZHkoLJgwQLMnDkTISEh8PLygkKhUL9W8c9EREREhpIcVJYuXYrVq1dj9OjRJiiHiIiI6F+SG77Z2NigR48epqiFiIiISIPkoDJp0iQsX77cFLUQERERaZA89fPWW29hwIABCA4ORps2bars8Nm6davRiiMiIiLrJjmojB8/Hr///jv69OmDhg0bcgEtERERmYzkoLJ27Vps2bIFAwYMMEoBV69exZQpU/Djjz+ioKAAzZs3R0JCAiIiIoxyfSIiIrJckoOKh4cHgoODjXLz7Oxs9OjRA3369MGPP/4IT09PXLhwAQ0aNDDK9YmIiMiySQ4q77zzDubMmYOEhAQ4OzsbdPNFixbBz88PCQkJ6mNBQUEGXZOIiIjqDslBZdmyZUhNTYWXlxcCAwOrLKY9evSo6Gvt2LEDUVFReO6557B37140bdoUY8eOxauvvqr1/KKiIo0nM+fm5kotn4iIiCyI5KAyePBgo908LS0NK1asQGxsLKZPn47ExESMHz8e9vb2GDVqVJXz4+LiMHfuXKPdn4iIiORNIQiCYK6b29vbIyIiAgcOHFAfGz9+PBITE/HXX39VOV/biIqfnx+G7R4J+3r2tVIzERERGaY4rxgb+36DnJwcuLm56TxXcsO3xMREHDp0qMrxQ4cO4ciRI5Ku5e3tjTZt2mgca926Na5cuaL1fAcHB7i5uWl8ERERUd0lOajExMQgPT29yvGrV68iJiZG0rV69OiBc+fOaRw7f/48AgICpJZFREREFuJifIjocyWvUUlOTkbHjh2rHA8PD0dycrKka02aNAndu3fHggUL8Pzzz+Pw4cNYtWoVVq1aJbUsIiIikrnURa3/+dN90e+RPKLi4OCAmzdvVjl+/fp12NpKyz2dO3fGtm3bsGHDBrRt2xbz5s1DfHw8RowYIbUsIiIikrF/Q4o0kkdU+vfvj2nTpmH79u1wd3cHANy9exfTp0/Ho48+KrmAgQMHYuDAgZLfR0RERPKjbyCpjuSg8uGHH+Lhhx9GQEAAwsPDAQDHjx+Hl5cXvv76a6MWR0RERJbB2AGlnOSg0rRpU5w8eRLr1q3DiRMn4OTkhOjoaAwfPrxK8zciIiKq+0wVUgA9ggoAuLi44LXXXjN2LURERGRhTBlSAJFB5eDBg+jatauoCxYUFODixYsIDQ01qDAiIiKSB1OHEV1E7fp58cUXERUVhf/973/Iz8/Xek5ycjKmT5+O4OBgJCUlGbVIIiIiMg9zhhRA5IhKcnIyVqxYgZkzZ+KFF15Ay5Yt4ePjA0dHR2RnZ+Ps2bPIy8vD008/jV27dqFdu3amrpuIiIhMzNwhBdDjWT9HjhzB/v37cfnyZRQWFqJRo0YIDw9Hnz594OHhYao6tcrNzYW7uzuf9UNERGREpg4opSX3cWjnLFHP+pG8mDYiIgIRERF6F0dERETyJYdRlIokd6YlIiKiukluIQXQc3syERER1R1yDCjlGFSIiIishJwDSXUYVIiIiOo4Swwo5bhGhYiIqA6z5JAC6Dmisnv3buzevRu3bt1CWVmZxmurV682SmFERERkGEsPKYAeQWXu3Ll49913ERERAW9vbygUClPURURERHqqCwGlnOSgsnLlSqxZswYvvviiKeohIiIiA9SlkALosUaluLgY3bt3N0UtREREZIC6FlIAPUZUXnnlFaxfvx6zZs0yRT1ERESkQ10MI7qICiqxsbHqP5eVlWHVqlX49ddfERYWBjs7O41zlyxZYtwKiYiICID1hRRAZFA5duyYxvcdOnQAAJw+fdroBREREVFV1hhSAJFB5ffffzd1HURERKSFtQaUcpLXqIwZMwZLly6Fq6urxvH8/Hy8+eab7KNCRESkB2sPJNWRvOtn7dq1KCwsrHK8sLAQX331lVGKIiIisiYMKdUTPaKSm5sLQRAgCALu3bsHR0dH9WsqlQo//PADGjdubJIiiYiI6iIGlJqJDir169eHQqGAQqFAy5Ytq7yuUCgwd+5coxZHRERUVzGkiCM6qPz+++8QBAGPPPIItmzZAg8PD/Vr9vb2CAgIgI+Pj0mKJCIiqksYUsQTHVR69eoFALh48SL8/f35jB8iIiKJGFCkExVUTp48qfH9qVOnqj03LCzMsIqIiIjqIIYU/YgKKh06dIBCoYAgCDWOpKhUKqMURkREVFcwpOhPVFC5ePGi+s/Hjh3DW2+9hcmTJ6Nbt24AgL/++guLFy/G+++/b5oqiYiIZI5hxDREBZWAgAD1n5977jksW7YMTzzxhPpYWFgY/Pz8MGvWLAwePNjoRRIREckZQ4rpSG74durUKQQFBVU5HhQUhOTkZKMURUREZCkYUkxLclBp3bo14uLiUFxcrD5WXFyMuLg4tG7NHxYREVmH1EWtGVJqgeRn/axcuRJPPvkkfH191Tt8Tp48CYVCgZ07dxq9QCIiIrlhQKk9koNKZGQk0tLSsG7dOpw9exYAMHToULzwwgtwcXExeoFERERywpBSuyQHFQBwcXHBa6+9ZuxaiIiIZIsBxTxEBZUdO3bg8ccfh52dHXbs2KHz3KeeesoohREREZkDA4m8iAoqgwcPxo0bN9C4cWOd248VCgUbvhERkcViSJEfUUGlrKxM65+JiIjqAgYU+ZK8Pfn+/fumqIOIiMgsGFLkTfJi2vr16yMyMhK9evVC79690b17dzg5OZmiNiIiIqNhILFMkoPKr7/+in379mHPnj346KOPUFpaioiICHVwefTRR01RJxERkV4YUCybQhAEQd83l5aWIjExEZ999hnWrVuHsrKyWl1Mm5ubC3d3dwzbPRL29exr7b5ERGQZGFLkqbTkPg7tnIWcnBy4ubnpPFevPirnz5/Hnj171F9FRUUYOHAgevfurc/liIiIjIoBpe6QHFSaNm2KwsJC9O7dG71798aUKVMQFhYGhUJhivqIiIgkYUipWyTv+vH09ERBQQFu3LiBGzdu4ObNmygsLDRFbURERJIwpNQ9koPK8ePHcePGDUydOhVFRUWYPn06GjVqhO7du2PGjBmmqJGIiEgnPsm47jJoMe2dO3ewZ88ebN++HRs2bOBiWiIiMimGkbrBpItpt27dql5Em5ycDA8PD/Ts2ROLFy9Gr1699C6aiMgSeF3JgVdGLm76uuGmv7u5y7EqDCnWSXJQeeONN/Dwww/jtddeQ69evdCuXTtT1EVEJCsuOUV4Y/YehB28qj52smtTrJjXGwVuDmasrO5jQLFukoPKrVu3TFEHEZGsvTF7D0IPX9M4Fnr4Gv4zaw8WL40yU1V1H0MK6dVHhYjImnhdydEYSSmnLBMQdvAqvK7kcBrIQAwkVB0GFSKiGnhl5Nb4OoOKfhhQqCaStycTEVmbm766dyXU9Dppx5BCYjCoEBHV4Ka/O052bQqVjWYHbpWNAie7NuVoih4YUkgsBhUiIhFWzOuNM5E+GsfORPpgxbze5inIQrExG0klao3KkCFDRF9w69atehdDRGQuNfVHKXBzwOKlUeyjYgAGFNKHqKDi7s5/GImobpLaH+WmvzsDih4YUkhfooJKQkKCqesgIjIL9kcxLQYUMhS3JxOR1WJ/FONhICFT0SuobN68GZs2bcKVK1dQXFys8drRo0eNUhgRkVRS14+wP4pxMKSQKUkOKsuWLcOMGTMwevRobN++HdHR0UhNTUViYiJiYmJMUSMRkU76PoeH/VEMw4BCtUHy9uRPP/0Uq1atwscffwx7e3u8/fbb+OWXXzB+/Hjk5OSYokYiIp10rTPRhf1R9MeQQrVFclC5cuUKunfvDgBwcnLCvXv3AAAvvvgiNmzYYNzqiIhqUL7ORFkmaByvuM5EF2P0R/G6koOwA+k13quuYEih2iR56qdJkybIyspCQEAA/P39cfDgQbRv3x4XL16EIAg1X6AaCxcuxLRp0zBhwgTEx8frfR0isi6GrjMxpD+KvlNOlooBhcxB8ojKI488gh07dgAAoqOjMWnSJDz66KMYOnQonn76ab2KSExMxGeffYawsDC93k9E1stY60xu+rvjZHc/SdM9+k45WSKGFDIXySMqq1atQllZGQAgJiYGDRs2xIEDB/DUU0/h9ddfl1xAXl4eRowYgc8//xzvvfeeznOLiopQVFSk/j43V/d/SRFR3Ve+ziT08DWN6R+VjQJnIn1Mts6krm5tZiAhuZE8omJjYwNb23/zzbBhw7Bs2TK8+eabsLe3l1xATEwMBgwYgH79+tV4blxcHNzd3dVffn5+ku9HRHWP1HUmoQcz8NSXxxB6KEPve4qZcrIkfAYPyZVefVSys7Px5ZdfIiUlBQDQpk0bREdHw8PDQ9J1Nm7ciKNHjyIxMVHU+dOmTUNsbKz6+9zcXIYVIhK9zsQzPRezX94Jt5wKI7PuDpib8CRuN5W2FbkubW1mQCE5kzyism/fPgQFBWHZsmXIzs5GdnY2li1bhqCgIOzbt0/0ddLT0zFhwgSsW7cOjo6Oot7j4OAANzc3jS8ionI1rTOZ/fJOuFYIKQDgmlOEOdE79btXHdjazJBCcid5RCUmJgbPP/88VqxYAaVSCQBQqVQYO3YsYmJicOrUKVHXSUpKwq1bt9CxY0f1MZVKhX379uGTTz5BUVGR+vpERIYKPZihMZJSTgHALacIoYcycKaLr6RrrpjXG/+ZpbnrR+rW5trAMEKWTHJQ+fvvv7F582aNEKFUKhEbG4uvvvpK9HX69u1bJdRER0ejVatWmDJlCkMKEenUc8c5tE66jpQIb+x/MqTG84PPZOp+/XSmqKBSeXpJ363NtaWuhxRPDyc0qu+E29mFyMwuNPg8kh/JQaVjx45ISUlBSIjmvxhSUlLQvn170ddxdXVF27ZtNY65uLigYcOGVY4TEZXzT76N2a/uhF3pgx0+PX9Kw+iFBzB39ZNID2lU7ftSQz11Xje1re7XdfVMuenvLruAAtTtkOLsaIuXBrVB6+CG6mMpqXewdnsyCu+XSj6P5EvyGpXx48djwoQJ+PDDD7F//37s378fH374ISZNmoRJkybh5MmT6i8iImOb/epO2JZqNpe0LRUwZ4zudSZnuvoi190BldtSCniwoLam0RRL6pliDTt4XhrUBi2DNDdwtAzywKhBbfQ6j+RL8ojK8OHDAQBvv/221tcUCgUEQYBCoYBKpZJ07T179kgth4isSM8d59QjKRUpANiVCui585zOaaC5CU9iTrTmrp97/+z60cWSeqbU9YACPJjGqThCUk5po0Dr4IbwbOCEzOxC0eeRvEkOKhcvXjRFHURENWqddF3360euVwkqldePvLlrhOT1LYa26a8t1hBSAKBRfSfdr/8TQMSeR/ImOagEBASYog4iohqldPJGz5/Sqn89wlv9Z21rSs7883rokQeBp+dPaejy66Uan80j954p1hJQyt2+qztc3P4nfIg9j+RN8hoVAPj666/Ro0cP+Pj44PLlywCA+Ph4bN++3ajFERFVtP+pEJQBWteZlAEaoyPa1pS0OXIdbY5ojsqIWWcil54p5WtPKn9Zm8ysQqSk3oGq0hOzVWUCUlLvqEdJxJ5H8iY5qKxYsQKxsbF44okncPfuXfU6lPr16/Opx0QE4J81HQfS4XUlxyjvLT8WejADNniwJqUiBR78y6z8PeVrSpSVfkEptLy34joTXaS26TcmSw0knh5OaN3MA54NdE/B6GPt9mScv5ilcez8xSys3Z6s13kkX5Knfj7++GN8/vnnGDx4MBYuXKg+HhERgbfeesuoxRGRZdG1hVfX1Ep17608VVOT8rUi+jxnp6Z1JmLb9BubJQaU2tgSXHi/FCu/PQnPBk5o1KD6/ihizyP5kjyicvHiRYSHh1c57uDggPz8fKMURUSWyZAtvGKnanQpXyuiz5oRse+pqU2/MVliSAFqd0twZnYhUtKyagwfYs8j+ZEcVIKCgnD8+PEqx3/66Se0bm2Z/1ARkeGqm24RM7UiZapGm8prRapbUyKg6voWOT6bx1KneoB/tw4rK332FbcEE0kheeonNjYWMTExuH//PgRBwOHDh7FhwwbExcXhiy++MEWNRGQBDNnCq89UTUXla0UqTstoew5PspapJG3vNWdosdSAUo5bgsnYJAeVV155BU5OTpg5cyYKCgrwwgsvwMfHB0uXLsWwYcNMUSMRWQBDtvAaur038EwmJkz+Fa2O31QfK18b43r3fpUAUjGU5Lk7Vgk0YtfVGJulhxSAW4LJ+PTanjxixAhcuHABeXl5uHHjBjIyMvDyyy8buzYisiCGbOGVMlWj7ZjrvWKEVAgpwL9rY7StKal4TA6t8S15qqcybgkmY5McVAoLC1FQUAAAcHZ2RmFhIeLj47Fr1y6jF0dElsWQLbza3qttjYrYY4asjRG7ZVkqa+mDwi3BZEySp34GDRqEIUOG4I033sDdu3cRGRkJe3t73L59G0uWLMF//vMfU9RJRBagfAtv6KEMBJ/ORGpbT50P+ws9mIHgM/+eV3H7b9uDVxH1reG/2LStjSm/b1kN/6lmzNb4qYtaw9PDCY3q17xFVtt5Yt8rB9wSTMYkOagcPXoUH330EQBg8+bNaNKkCY4dO4YtW7Zg9uzZDCpEVkxsHxXP9FzMflnz4YC5/zwc8Ka/O276u0NlozBKUKm4/kXbfcW+V1+pi1rD2dEWbwytua+Itv4j5y9mQQAQUmG7r7F7kphKJgMKGYHkoFJQUABXV1cAwK5duzBkyBDY2Niga9eu6nb6RGSddK33WLw0Sn1s9ss74VopLLjmFGFO9E68uWsEAOBMV1+Uoeq0TvkkjZhj99wdNEZEtN1X23tVNgqcifSRNJqiawpHV1+Rld+e1Hlei8AGVa6n7b1EdZXkNSrNmzfH//3f/yE9PR0///wz+vfvDwC4desW3NzM+2AuIjIfses9Qg9mwC2nSOs6E7ecIoQeylCfV127fLHH3HKKRN238jGprfF1hRSxfUWqO0+hUEChYE8Ssl6SR1Rmz56NF154AZMmTULfvn3RrVs3AA9GV7R1rCUi6yC2j0rwmUyd5wWfzsSZLr41nielLjH3/Xloa5zu6iupj4qYhbBi+4rUdJ6u9+ojJKgBAnzccOlqLs5fytbrGkS1QXJQefbZZ9GzZ09cv34d7du3Vx/v27cvnn76aaMWR0SWQ2wfldRQT53npbb1FHWe1Lpqut6JHn46F/5WJna3jti+IjWdp+u9UjSs74jY0Z1Qz9lefSyvoBiLE5KQlXNf8vWITE2vPipNmjRBeHg4bGz+fXtkZCRatWpltMKIyLKI7aNypqsvct0dtPZHyXV3UIeFM119UWKrENVHRUxrfLH3FUPKlmKxfUWqO08QBAhC1WOlqjK9RlNiR3eCi5OdxjEXJzv8N7qT5GsR1Qa9ggoRWSevKzkIO5BebX8RXX1UQg9m4KkvjyH0UAbmJjyJe+6aXV/v/bPrp+K97EoFvdeoaFtnIua+ukjpe+Lp4YTWzTzg2cBJdF8RbedpW6OiUChgq7TBI1390L9HAFpWWHBb8b6VhQQ1QD1ne63Xq+dsj8h2XlXeq+16uu5R3WdApC/JUz9EZH3EbjtWVB6uAGB/vxSLnvkf3HKL1cfKtyJ7ZeRW229Fn+f/fDm9O+56ulS7zuR2Uze8uWuE6D4vFYkNKNq2GJdvJ67nZKezr0jl/iMhzRqgT6R/tfca9Ehz9Z/zCopxPTMfLQL+DS2VtzEH+Oienhvx5L9PN9a2LVrsVmldn4Hct1ST/CiEymOKFiQ3Nxfu7u4Ytnsk7OvZ1/wGItLLfyf8jNDD1zR29JRv4a247Vjbebq2DpdvRdbG60oO3n9ui6Q63/7fMyZ5oKCUqZ43hoahZZCHxu4dVZmA8xezJG8nDglqgLHDO4g6t/xf5RVHSyrf19DribkHYNzPgOqm0pL7OLRzFnJycmrcMcwRFSLSqXzbcWUVtx3f9Hev9rzKUzLlx8q3IktZG1IdffqeVGaMVvblW4wrq7idWMq6knMXs5FXUAwXJ7sq0zWVaXu98n0NvZ6Yexj7MyDiGhUi0knMtmMx52nTfn96lTUv5WtZOu9OE30dqX1PKjPW83bEbEWWanFCEvILS/Qtqcp9jXE9XfcwxWdA1o0jKkSkk9htx/q0m4/alIKoTSkAgLMdvNA07S5cc8W1t39/WX8oVYKkvifaGPOhgGK3IkuRlXMfM+L/RMvABghs6oZSVZnG2hRRdVW4r5OjLRwdjP+vfrHbrPX5DMi6MagQkU7l246rW6NSHhJu+rsj190BrpW6v4pteR9y/GaVe+tqb2/olJEpnlpcvsW4uvUZhkx5nL+UrW7MNqBXMyhtFKLXj1S8b+zoTlW634pdjyLmHqb8DMg6ceqHiGqka9txOa8rOaJb1BtyzNBpHsA0IaWc2K3I+vL0cIKt0kbrFuPKxyrfNzKsiej3ij0mdpu1MT8Dsi4cUSEirbyu5DxoP//P1MripVE6t/XWtEblf290hE2ZgDIb4LmVxyTVsv/xYNz0c5O0nbg6qYtaw9PDCY3qV79NuJy2NvM1vbd8i3HnsCZoGVAf5y9lI/HUzWrfK7WVfU1rQP46cQ0ebo44ezELvx1M17hvu+ZVF7lWdDYtC6npdxHs645WWhbEljt5LhMHjl3T+HtU/rut/PYkQgIbIKCp8dr0a/v8xP4syXIxqBCRBm09U85EeAMAQo9cVx+r3EelpjUqiX2D1LuDpAaVnj+mVntfsVIXtYazoy3eGFpzf4/q2szfyMxHcx19SrS9N7KdNwb3bV6lx8nfV7LRpJGL5Fb2Na0B6db+wchXSJAHBvRqhsvXchHsV1/ne8q1auaBVs08ajzv5PlMpKQ9GDHR1jPl3D+jKTX1WxGrNu5B8sWpHyLS8MbsPQg9fE3jWJsj19GmQkgBgNDD1/CfWXvU34ttoX/T392g1viV71tZeffYyl8A8NKgNmgZpPmLuGWQB0YNaqNxrLo288H+9fV+b/NK7w32q69XK3sprfaVNgo083Wv8Twpx0pVZeoRIqCazzSwgUa3XED7ZyVWbdyD5ItBhYjUynuhKCv9EtS2VqRiH5VyYtayhB7MMKg1vrb7ltO19qS8v0flhaQV+3sAutvMVz5myHurOyamlb2UVvvGPKYqE7A44YhmTVo+U12fVcugBpLa6utzD7bsr1s49UNEavr0QvHKyFWPlhS4OWDx0qgq61sqCj6TabRay68tZnGsmP4emdmFNbaZN/Z7tanYyl7bFEd5K/va8NvBK6jnYqex1qZcTZ+pNjEVOuOKmarR5x6N2FSuTmFQISI1fXqhaHvPTX/3anubpIZ6Sr6HrvuK3cEjtr/H5WvSw5oh761J5ekNAGih5ZipHDh2rdpf+jV9pjUpn6rR1VZfn3uwV0vdwqkfIlKrbp2JMZ3p6otcdwe916ioFAocbNwSBzZ0lbTNuLq1HaoyASmpd9S/jHUtZK1JeYt6Yz5CTey0jCG0rUep/LloI2W9jDZipmqk3ENMzWR5GFSISIO2dSa66DNdNDfhSdxz19y1k+fmgLMdvDSOJUd4I8kzWONYomcLzI2s/mGGuojp76HPVEOwv7t63YWpWtSbUn5hCf6+clfjmNi+J1o/0wrN6cSo+PkZcg/2aqmbOPVDRBoqrzNRKRV4e/yuas/XZ7rodlM3vLlrhNa+LBXXtxzY0BXwB3zzMuGbdwcZ9Roio57+U0flPU48GzihUQPtvTf0mWoYPuDfkZ2U1Dt4b+Uh+DVxRWBTN9zNva+x5kQuvtmZjAZujrh0NRcZN+7hJT13y+j6TMuPqQRBY21KZZU/v8rrVrTdI7+wRO+aybIoBGOOUday3NxcuLu7Y9jukbCvZ1/zG4hIL/+d8HO1LfQXL40y+v1M2TlWjPkTe1R5wrDUlvIV1128MTSsSkt5Q9rWG6PlfU31aTvPEGI/A7H3rY2ayXRKS+7j0M5ZyMnJgZub7v/Y4dQPEdVIzLZjYzF3SPH0cDJoi7G2dRfm2k4spuW92G3bhhL7GYi5b23VTPLAqR8iqpGYbcfGYGhIMUY7dX3WqGi9ToUtsuVTF+Ut5RvWd0TX9uLXARlqw3cpyMkr1vq5iN22bajK0zfurg4YPqCVXvetrZpJHhhUiEg0XduODWFoQNHWYl3fduqGbrlVX6fCL0pt9dWm1PQcvbcYG3urb+Y/YcnTQ3fY0HXf2q6ZzItTP0RkVsaY6hHbGl+MzKxCrVuMpbaerxgMtNVnaCt7MccM2WJs6q2+htzXXDWTeXBEhYhqhanWnpSvV6is4noFKb+4yteoVKatb4muY4909cNvB9OrrU/be/MLS6o8+FDqfSuSssV4VKURn9rY6mvIfc1VM9U+BhUiMilTL4411nqF8vUt7q66n8r8+8ErcHGxg5+XK7wb16v2vFZBHvjtYHqN9WlrUa9ex1HPHsMHSvv8Nnx/Fjn3iiSt0xGzbdsUDLlv+XtbBjVAoI8bLl3NldS7hSwHgwoRmUxt7OAxdL2C1PUjfbr6izrv7D87XGqq75F/rhfZzhud2nhh7fZk0es4tEm9clfvkJFZSwHFGPc15rokkjcGFSIymDm3FJevV6iup0ZNvwCrWz8CGNa75LeD6Trr0/beys++kfJesX/fukLXuiT2UalbuJiWiPSWuqi10UOKp4eTznbq2s4T0xq/2mto6cdhjN4l+vRREduDxRjt48V+znLEPirWhSMqRKQXYwcUsUP5us6r52Qnaa2DsXqmaL22lj4q+vQQcXa0hZ+3q8brTb3qYXFCEpQ2CslrO+rClAn7qFgXjqgQkWSmmOoRu8VY13mZ2YVISRM//WGsnilar62lhvL6UtPvin5v7OhOcHGy03jdxckO/43uJPnvCxh3K7e5sI+KdWFQISLRTDHVA4gfyreEIX9j9gEJCWpQbTv/es72aBnYAFJYwucnBvuoWBcGFSISxZQLZsUM5Us5z1j31YeUPiA1rasJ8NH9sLbAptKeXG3sz8+c9F2XRJaHa1SIqEam3tUjdijf2EP+xpr6Wb7+OJQ2CqP3Lrl8LVfnNS5d1f16ZXVpysRcvV+o9jGoEFG1amvbcXnbehcnuypbffMLS9S/gAzdiqztvqWqMihtFHptRS6/ryGNxnT1EDl3MVvn5yL1vsb+/OTAXL1fqPYwqBCRWfugALrb1tdzttdog2/M1ukhQQ1gq6w6A661Hf0/oSCkwkLU2phqWJyQhP9Gd9L4fPILS7A4IUmv67H1PFkaBhUiK2doSPG7l4mm+XeQUa8hMup56nWNmtZOBPu7awzvG2vIv6Y1IHsOp+NsWpbGPWp7qiEr5z5mxP+JyHZeaBHYQKPVvj44ZUKWhkGFyEoZGlBciwsw5/A6dL11Xn3sYOOWmBs5AvfsnSVdq6a1E8MH/Ftrec8PYwz517QG5Mzfd6pMr9T2VEPlvicVW+0b0veEUyZkKbjrh8gKGWOqZ87hdeiceUHjWOfMC5hzeJ3ka1W33VQQBPXakHLG7Plx7mI2SlVlVe4hCAJKVWWyeMhdXeh7QmQIBhUiK2OMkOJ3LxNdb52HstIveKUgoOut8/DNy5R8TUPazOvL08MJtkobrX1KbJU2Zu8rUlf6nhAZglM/RFbCmAtmm+bf0fm6b94dyetVDGkzr6/absUeEtQAAT5uuHQ1V+dojaeHExrVf/AZ1GZ9RHLEoEJkBYy9q+eqS0Odr2fU0/26LuVrJzw9dIcIY/T8qK2+Ig3rOyJ2tObOnbyCYixOSEJWzn31MW3P4amN+ojkjEGFqA6prW3G6a6eONi4JTpnXtCY/lEpFEj0bKH37p+KaqPnR231FdH1vJ4Z8X+qj2lbj6KrfwtHU8gacI0KUR1gqmfw6DI3cgQSPVtoHEv0bIG5kSOMdo/aaJNu6nuIfV5PdetRtK3TYd8TsiYcUSGycOZq1nbP3hlv9XwVvnmZ/6xJ0b+PSnVqo+eHqe8h5nk95y9l17heZsN3KcjJK2bfE7I6DCpEFszcHWUBIKOep9EDSmW10fPDVPcQ+7yemtbLpKbnMKCQVWJQIZI5OYQR0p/Y5/XUxefwEBmDWdeoxMXFoXPnznB1dUXjxo0xePBgnDt3zpwlEckKQ8oDnh5OaN3Mw2L7hixOSEJ+YYnGMW3P66mNNTlElsasIyp79+5FTEwMOnfujNLSUkyfPh39+/dHcnIyXFxczFkakdkxpGjfrlveQt+Q9vG1rfx5PS0DGyCwafV9VPgcHqKqFELl3tFmlJmZicaNG2Pv3r14+OGHazw/NzcX7u7uGLZ7JOzrVX3yKpElYkD51xtDw6qdCln57UkzVkZEhigtuY9DO2chJycHbm66F5zLao1KTk4OAMDDw0Pr60VFRSgqKlJ/n5ure5EakaVhSPlX+Xbdyiq2j+doA1HdJ5s+KmVlZZg4cSJ69OiBtm3baj0nLi4O7u7u6i8/P79arpLINMzRB0XuxLS3J6K6TzZBJSYmBqdPn8bGjRurPWfatGnIyclRf6Wnp9dihUSmwYCiXW21tycieZPF1M+4cePw3XffYd++ffD19a32PAcHBzg46H5IF5FcMZBIw+26RASYeURFEASMGzcO27Ztw2+//YagoCBzlkNkEpzW0R+36xKRWUdUYmJisH79emzfvh2urq64ceMGAMDd3R1OTpx/JsvHgGIYbtclIrMGlRUrVgAAevfurXE8ISEBo0ePrv2CiIyIIcV4aqOFPhHJk1mDioxauBAZDQMKEZHxyGbXD1FdwJBCRGRcDCpERsKQQkRkfLLYnkxkyRhQiIhMh0GFSCQGEiKi2sepHyIRGFKIiMyDIypEOjCgEBGZF0dUiKrBkEJEZH4cUSGrx0BCRCRfDCpktRhQiIjkj1M/ZJUYUoiILAODClkdhhQiIsvBqR+yGgwoRESWhyMqZBUYUoiILBODCtV5DClERJaLUz9UJzCMEBHVTRxRIYvHkEJEVHcxqJBFY0ghIqrbOPVDFokBhYjIOnBEhSwOQwoRkfVgUCGLwpBCRGRdOPVDFoEBhYjIOnFEhWSPIYWIyHpxRIVkg4GEiIgqY1Ahs2NAISKi6nDqh8yKIYWIiHThiAqZHMMIERHpiyMqZFIMKUREZAgGFTIZhhQiIjIUp37I6BhQiIjIWDiiQkbFkEJERMbEoEJGw5BCRETGxqkfMhgDChERmQpHVMggDClERGRKHFEhURhIiIjIHBhUSCcGFCIiMidO/VC1GFKIiMjcOKJCDCRERCRbDCpWjAGFiIjkjlM/VoohhYiILAGDihViSCEiIkvBqR8rwoBCRESWhiMqVoIhhYiILBGDihVgSCEiIkvFqZ86jAGFiIgsHYNKHcBAQkREdRWnfiwcQwoREdVlHFGxUAwoRERkDTiiYoEYUoiIyFowqFgYhhQiIrImnPqxEAwoRERkjTiiYgEYUoiIyFpxREVGGEiIiIg0MajIAAMKERGRdpz6MTOGFCIiouoxqJgRQwoREZFunPoxMYYRIiIi/XFExYQYUoiIiAzDERUTYEAhIiIyDo6oGBlDChERkfEwqBgRQwoREZFxcerHCBhQiIiITIMjKgZiSCEiIjIdBhUDMKQQERGZFqd+asAwQkREZD6yGFFZvnw5AgMD4ejoiC5duuDw4cPmLgkAQwoREZG5mT2ofPvtt4iNjcWcOXNw9OhRtG/fHlFRUbh165ZZ62JIISIiMj+zB5UlS5bg1VdfRXR0NNq0aYOVK1fC2dkZq1evNks9qYtaM6QQERHJhFnXqBQXFyMpKQnTpk1TH7OxsUG/fv3w119/VTm/qKgIRUVF6u9zcnIAACX5xUap52J8CID7RrkWERERaVda8uB3rSAINZ5r1qBy+/ZtqFQqeHl5aRz38vLC2bNnq5wfFxeHuXPnVjm+5alNJquRiIiITOPevXtwd3fXeY5F7fqZNm0aYmNj1d/fvXsXAQEBuHLlSo1/UTK93Nxc+Pn5IT09HW5ubuYuh8Cfidzw5yEv/HmYjyAIuHfvHnx8fGo816xBpVGjRlAqlbh586bG8Zs3b6JJkyZVzndwcICDg0OV4+7u7vw/mYy4ubnx5yEz/JnIC38e8sKfh3mIHWAw62Jae3t7dOrUCbt371YfKysrw+7du9GtWzczVkZERERyYPapn9jYWIwaNQoRERGIjIxEfHw88vPzER0dbe7SiIiIyMzMHlSGDh2KzMxMzJ49Gzdu3ECHDh3w008/VVlgq42DgwPmzJmjdTqIah9/HvLDn4m88OchL/x5WAaFIGZvEBEREZEZmL3hGxEREVF1GFSIiIhIthhUiIiISLYYVIiIiEi2LDqoLF++HIGBgXB0dESXLl1w+PBhc5dkleLi4tC5c2e4urqicePGGDx4MM6dO2fusugfCxcuhEKhwMSJE81ditW6evUqRo4ciYYNG8LJyQnt2rXDkSNHzF2W1VKpVJg1axaCgoLg5OSE4OBgzJs3T9RzZ6j2WWxQ+fbbbxEbG4s5c+bg6NGjaN++PaKionDr1i1zl2Z19u7di5iYGBw8eBC//PILSkpK0L9/f+Tn55u7NKuXmJiIzz77DGFhYeYuxWplZ2ejR48esLOzw48//ojk5GQsXrwYDRo0MHdpVmvRokVYsWIFPvnkE6SkpGDRokV4//338fHHH5u7NNLCYrcnd+nSBZ07d8Ynn3wC4EFHWz8/P7z55puYOnWqmauzbpmZmWjcuDH27t2Lhx9+2NzlWK28vDx07NgRn376Kd577z106NAB8fHx5i7L6kydOhV//vkn/vjjD3OXQv8YOHAgvLy88OWXX6qPPfPMM3BycsI333xjxspIG4scUSkuLkZSUhL69eunPmZjY4N+/frhr7/+MmNlBAA5OTkAAA8PDzNXYt1iYmIwYMAAjX9OqPbt2LEDEREReO6559C4cWOEh4fj888/N3dZVq179+7YvXs3zp8/DwA4ceIE9u/fj8cff9zMlZE2Zu9Mq4/bt29DpVJV6V7r5eWFs2fPmqkqAh6MbE2cOBE9evRA27ZtzV2O1dq4cSOOHj2KxMREc5di9dLS0rBixQrExsZi+vTpSExMxPjx42Fvb49Ro0aZuzyrNHXqVOTm5qJVq1ZQKpVQqVSYP38+RowYYe7SSAuLDCokXzExMTh9+jT2799v7lKsVnp6OiZMmIBffvkFjo6O5i7H6pWVlSEiIgILFiwAAISHh+P06dNYuXIlg4qZbNq0CevWrcP69esRGhqK48ePY+LEifDx8eHPRIYsMqg0atQISqUSN2/e1Dh+8+ZNNGnSxExV0bhx4/Ddd99h37598PX1NXc5VispKQm3bt1Cx44d1cdUKhX27duHTz75BEVFRVAqlWas0Lp4e3ujTZs2Gsdat26NLVu2mKkimjx5MqZOnYphw4YBANq1a4fLly8jLi6OQUWGLHKNir29PTp16oTdu3erj5WVlWH37t3o1q2bGSuzToIgYNy4cdi2bRt+++03BAUFmbskq9a3b1+cOnUKx48fV39FRERgxIgROH78OENKLevRo0eV7frnz59HQECAmSqigoIC2Nho/vpTKpUoKyszU0Wki0WOqABAbGwsRo0ahYiICERGRiI+Ph75+fmIjo42d2lWJyYmBuvXr8f27dvh6uqKGzduAADc3d3h5ORk5uqsj6ura5X1QS4uLmjYsCHXDZnBpEmT0L17dyxYsADPP/88Dh8+jFWrVmHVqlXmLs1qPfnkk5g/fz78/f0RGhqKY8eOYcmSJRgzZoy5SyNtBAv28ccfC/7+/oK9vb0QGRkpHDx40NwlWSUAWr8SEhLMXRr9o1evXsKECRPMXYbV2rlzp9C2bVvBwcFBaNWqlbBq1Spzl2TVcnNzhQkTJgj+/v6Co6Oj0KxZM2HGjBlCUVGRuUsjLSy2jwoRERHVfRa5RoWIiIisA4MKERERyRaDChEREckWgwoRERHJFoMKERERyRaDChEREckWgwoRERHJFoMKERERyRaDChFJMnr0aAwePLja19esWYP69evXWj01CQwMRHx8vOT33blzB40bN8alS5eMXlO527dvo3HjxsjIyDDZPYgsHYMKEdUJxg5I8+fPx6BBgxAYGGi0a1bWqFEjvPTSS5gzZ47J7kFk6RhUiIgqKSgowJdffomXX37Z5PeKjo7GunXrkJWVZfJ7EVkiBhUiC7J582a0a9cOTk5OaNiwIfr164f8/Hz161988QVat24NR0dHtGrVCp9++qn6tUuXLkGhUGDjxo3o3r07HB0d0bZtW+zdu1d9jkqlwssvv4ygoCA4OTkhJCQES5cuNbju7du3o2PHjnB0dESzZs0wd+5clJaWql9XKBT44osv8PTTT8PZ2RktWrTAjh07NK6xY8cOtGjRAo6OjujTpw/Wrl0LhUKBu3fvYs+ePYiOjkZOTg4UCgUUCgXeeecd9XsLCgowZswYuLq6wt/fv8YnF//www9wcHBA165dNY6fOXMGAwcOhJubG1xdXfHQQw8hNTUVwL9TYgsWLICXlxfq16+Pd999F6WlpZg8eTI8PDzg6+uLhIQEjWuGhobCx8cH27Zt0+ejJar7zP1URCIS59q1a4Ktra2wZMkS4eLFi8LJkyeF5cuXC/fu3RMEQRC++eYbwdvbW9iyZYuQlpYmbNmyRfDw8BDWrFkjCIIgXLx4UQAg+Pr6Cps3bxaSk5OFV155RXB1dRVu374tCIIgFBcXC7NnzxYSExOFtLQ04ZtvvhGcnZ2Fb7/9Vl3HqFGjhEGDBlVbZ0JCguDu7q7+ft++fYKbm5uwZs0aITU1Vdi1a5cQGBgovPPOO+pzyutav369cOHCBWH8+PFCvXr1hDt37giCIAhpaWmCnZ2d8NZbbwlnz54VNmzYIDRt2lQAIGRnZwtFRUVCfHy84ObmJly/fl24fv26+nMJCAgQPDw8hOXLlwsXLlwQ4uLiBBsbG+Hs2bPV/h3Gjx8vPPbYYxrHMjIyBA8PD2HIkCFCYmKicO7cOWH16tXq64waNUpwdXUVYmJihLNnzwpffvmlAECIiooS5s+fL5w/f16YN2+eYGdnJ6Snp2tce+jQocKoUaOqrYfImjGoEFmIpKQkAYBw6dIlra8HBwcL69ev1zg2b948oVu3boIg/BtUFi5cqH69pKRE8PX1FRYtWlTtfWNiYoRnnnlG/b3UoNK3b19hwYIFGud8/fXXgre3t/p7AMLMmTPV3+fl5QkAhB9//FEQBEGYMmWK0LZtW41rzJgxQx1UtN23XEBAgDBy5Ej192VlZULjxo2FFStWVPt3GDRokDBmzBiNY9OmTROCgoKE4uJire8ZNWqUEBAQIKhUKvWxkJAQ4aGHHlJ/X1paKri4uAgbNmzQeO+kSZOE3r17V1sPkTWzNdtQDhFJ0r59e/Tt2xft2rVDVFQU+vfvj2effRYNGjRAfn4+UlNT8fLLL+PVV19Vv6e0tBTu7u4a1+nWrZv6z7a2toiIiEBKSor62PLly7F69WpcuXIFhYWFKC4uRocOHfSu+8SJE/jzzz8xf/589TGVSoX79++joKAAzs7OAICwsDD16y4uLnBzc8OtW7cAAOfOnUPnzp01rhsZGSm6horXVigUaNKkifra2hQWFsLR0VHj2PHjx/HQQw/Bzs6u2veFhobCxubfGXUvLy+0bdtW/b1SqUTDhg2r3NvJyQkFBQWi/z5E1oRBhchCKJVK/PLLLzhw4AB27dqFjz/+GDNmzMChQ4fUv+w///xzdOnSpcr7xNq4cSPeeustLF68GN26dYOrqys++OADHDp0SO+68/LyMHfuXAwZMqTKaxXDQOUAoFAoUFZWpvd9K5J67UaNGiE7O1vjmJOTk173EXPvrKwseHp61nh9ImvExbREFkShUKBHjx6YO3cujh07Bnt7e2zbtg1eXl7w8fFBWloamjdvrvEVFBSkcY2DBw+q/1xaWoqkpCS0bt0aAPDnn3+ie/fuGDt2LMLDw9G8eXP1YlF9dezYEefOnatSV/PmzTVGH3QJCQnBkSNHNI4lJiZqfG9vbw+VSmVQreXCw8ORnJyscSwsLAx//PEHSkpKjHKPik6fPo3w8HCjX5eoLmBQIbIQhw4dwoIFC3DkyBFcuXIFW7duRWZmpjpkzJ07F3FxcVi2bBnOnz+PU6dOISEhAUuWLNG4zvLly7Ft2zacPXsWMTExyM7OxpgxYwAALVq0wJEjR/Dzzz/j/PnzmDVrVpVAINXs2bPx1VdfYe7cuThz5gxSUlKwceNGzJw5U/Q1Xn/9dZw9exZTpkzB+fPnsWnTJqxZswbAg/AGPGjslpeXh927d+P27dsGTaVERUXhzJkzGqMq48aNQ25uLoYNG4YjR47gwoUL+Prrr3Hu3Dm97wM82JGUlJSE/v37G3QdorqKQYXIQri5uWHfvn144okn0LJlS8ycOROLFy/G448/DgB45ZVX8MUXXyAhIQHt2rVDr169sGbNmiojKgsXLsTChQvRvn177N+/Hzt27ECjRo0APAgEQ4YMwdChQ9GlSxfcuXMHY8eONajuqKgofPfdd9i1axc6d+6Mrl274qOPPkJAQIDoawQFBWHz5s3YunUrwsLCsGLFCsyYMQMA4ODgAADo3r073njjDQwdOhSenp54//339a65Xbt26NixIzZt2qQ+1rBhQ/z222/Iy8tDr1690KlTJ3z++ec616yIsX37dvj7++Ohhx4y6DpEdZVCEATB3EUQkeldunQJQUFBOHbsmEGLY+Vi/vz5WLlyJdLT001y/e+//x6TJ0/G6dOnRU9R6aNr164YP348XnjhBZPdg8iScTEtEVmETz/9FJ07d0bDhg3x559/4oMPPsC4ceNMdr8BAwbgwoULuHr1Kvz8/Exyj9u3b2PIkCEYPny4Sa5PVBdwRIXISlj6iMqkSZPw7bffIisrC/7+/njxxRcxbdo02Nryv7eI6jIGFSIiIpItLqYlIiIi2WJQISIiItliUCEiIiLZYlAhIiIi2WJQISIiItliUCEiIiLZYlAhIiIi2WJQISIiItn6fxxiAK/JohhdAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca()   # get current axes subplot\n",
+    "df[df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                              ax=ax, color=\"r\", label=\"Setosa\")\n",
+    "df[~df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                               ax=ax, color=\"0.8\", label=\"Not Setosa\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e08f0d7a",
+   "metadata": {},
+   "source": [
+    "#### Visualizing Multiple-classification Boundaries (self-study example)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "b5007255",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['setosa', 'versicolor', 'virginica']"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "classes_ = list(mult_model.classes_)\n",
+    "classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "4f51b24d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "classes_.index(\"versicolor\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "f21476bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 1, 1, ..., 0, 0, 0])"
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in mult_model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "a2ea1f4a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='sepal length (cm)', ylabel='sepal width (cm)'>"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16e68d01",
+   "metadata": {},
+   "source": [
+    "#### Can we do better by creating a `Pipeline` of `PolynomialFeatures` and `LogisticRegression` models?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "39329fe6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-2 {color: black;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=10, include_bias=False)),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=10, include_bias=False)),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">PolynomialFeatures</label><div class=\"sk-toggleable__content\"><pre>PolynomialFeatures(degree=10, include_bias=False)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(fit_intercept=False)</pre></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('pf', PolynomialFeatures(degree=10, include_bias=False)),\n",
+       "                ('lr', LogisticRegression(fit_intercept=False))])"
+      ]
+     },
+     "execution_count": 66,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"setosa\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=10, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "id": "cfb361c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ True,  True,  True, ...,  True,  True,  True])"
+      ]
+     },
+     "execution_count": 67,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sepl, sepw = np.meshgrid(np.arange(0, 10, 0.1), np.arange(0, 10, 0.1))\n",
+    "predict_df = pd.DataFrame({\n",
+    "    'sepal length (cm)': sepl.reshape(-1),\n",
+    "    'sepal width (cm)': sepw.reshape(-1),\n",
+    "    'const': 1\n",
+    "})\n",
+    "Z_predictions = model.predict(predict_df)\n",
+    "Z_predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "id": "162750bc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='sepal length (cm)', ylabel='sepal width (cm)'>"
+      ]
+     },
+     "execution_count": 68,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca()\n",
+    "df[df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                              ax=ax, color=\"r\", label=\"Setosa\")\n",
+    "df[~df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                               ax=ax, \n",
+    "                               color=\"0.8\", label=\"Not Setosa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "0104c1a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/gurmail.singh/.local/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:460: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
+      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
+      "\n",
+      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
+      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
+      "Please also refer to the documentation for alternative solver options:\n",
+      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
+      "  n_iter_i = _check_optimize_result(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">PolynomialFeatures</label><div class=\"sk-toggleable__content\"><pre>PolynomialFeatures(degree=5, include_bias=False)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(fit_intercept=False)</pre></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('pf', PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                ('lr', LogisticRegression(fit_intercept=False))])"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86e6c1ef",
+   "metadata": {},
+   "source": [
+    "#### LogisticRegression uses an \"iterative algorithm\"\n",
+    "\n",
+    "- chooses some random coefficients\n",
+    "- LOOP (some fixed number of iterations/\"epochs\")\n",
+    "    - tweaks the coefficients to get slightly better accuracy\n",
+    "    - if accuarcy isn't improving much:\n",
+    "        - exit the loop early"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "634efdb9",
+   "metadata": {},
+   "source": [
+    "#### Solution 1: increase number of iterations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "48326e01",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-4 {color: black;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False, max_iter=1000))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-8\" type=\"checkbox\" ><label for=\"sk-estimator-id-8\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False, max_iter=1000))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-9\" type=\"checkbox\" ><label for=\"sk-estimator-id-9\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">PolynomialFeatures</label><div class=\"sk-toggleable__content\"><pre>PolynomialFeatures(degree=5, include_bias=False)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-10\" type=\"checkbox\" ><label for=\"sk-estimator-id-10\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(fit_intercept=False, max_iter=1000)</pre></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('pf', PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                ('lr', LogisticRegression(fit_intercept=False, max_iter=1000))])"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False, max_iter=1000)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "id": "23928789",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 1, 1, ..., 0, 0, 0])"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "id": "c928e072",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='sepal length (cm)', ylabel='sepal width (cm)'>"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d6d7857",
+   "metadata": {},
+   "source": [
+    "#### Solution 2: Transform the data into something LogisticRegression can learn from more quickly\n",
+    "\n",
+    "- LogisticRegression likes data that is standardized:\n",
+    "    1. \"small\" numbers\n",
+    "    2. \"centered\" numbers (average of the column is 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "id": "bca3ab66",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 2, 8, 9])"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = np.array([1, 2, 8, 9])\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da44090f",
+   "metadata": {},
+   "source": [
+    "How do we get \"centered\" numbers?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "id": "820626cc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-4., -3.,  3.,  4.])"
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a - a.mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6e319e8",
+   "metadata": {},
+   "source": [
+    "How do we get \"small\" numbers?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "id": "d42af4a8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.1, 0.2, 0.8, 0.9])"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a / 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "id": "8e757c34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0.28284271, 0.56568542, 2.2627417 , 2.54558441])"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a / a.std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "id": "5f58851b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-1.13137085, -0.84852814,  0.84852814,  1.13137085])"
+      ]
+     },
+     "execution_count": 77,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# LogisticRegression would like to learn from a column of data that looks like this\n",
+    "(a - a.mean()) / a.std()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5227aa05",
+   "metadata": {},
+   "source": [
+    "### `StandardScaler`\n",
+    "\n",
+    "- requires import: `from sklearn.preprocessing import StandardScaler`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "ecc4a9bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[-1.13137085],\n",
+       "       [-0.84852814],\n",
+       "       [ 0.84852814],\n",
+       "       [ 1.13137085]])"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "StandardScaler().fit_transform(a.reshape(-1, 1))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5eeb7578",
+   "metadata": {},
+   "source": [
+    "#### Recommendations: \n",
+    "\n",
+    "1. Always use StandardScaler with LogisticRegression\n",
+    "2. PolynomialFeatures should be BEFORE StandardScaler (when using both)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "id": "13ff43f3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-5 {color: black;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                (&#x27;std&#x27;, StandardScaler()),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False))])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-11\" type=\"checkbox\" ><label for=\"sk-estimator-id-11\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">Pipeline</label><div class=\"sk-toggleable__content\"><pre>Pipeline(steps=[(&#x27;pf&#x27;, PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                (&#x27;std&#x27;, StandardScaler()),\n",
+       "                (&#x27;lr&#x27;, LogisticRegression(fit_intercept=False))])</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-12\" type=\"checkbox\" ><label for=\"sk-estimator-id-12\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">PolynomialFeatures</label><div class=\"sk-toggleable__content\"><pre>PolynomialFeatures(degree=5, include_bias=False)</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-13\" type=\"checkbox\" ><label for=\"sk-estimator-id-13\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">StandardScaler</label><div class=\"sk-toggleable__content\"><pre>StandardScaler()</pre></div></div></div><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-14\" type=\"checkbox\" ><label for=\"sk-estimator-id-14\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(fit_intercept=False)</pre></div></div></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "Pipeline(steps=[('pf', PolynomialFeatures(degree=5, include_bias=False)),\n",
+       "                ('std', StandardScaler()),\n",
+       "                ('lr', LogisticRegression(fit_intercept=False))])"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# solution 2: use StandardScaler\n",
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"std\", StandardScaler()),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False, max_iter=100)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "57239e27",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 0, 0, ..., 0, 0, 0])"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "id": "5469390e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='sepal length (cm)', ylabel='sepal width (cm)'>"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650d5424",
+   "metadata": {},
+   "source": [
+    "Why should we use `PolynomialFeatures` before `StandardScaler`?\n",
+    "\n",
+    "1. Data won't be centered if second step is `PolynomialFeatures`\n",
+    "2. Also, when you square after standardization, small and large numbers have same value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "08cabe29",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 2, 8, 9])"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "id": "868eba1b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-1.13137085, -0.84852814,  0.84852814,  1.13137085])"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scaled = (a - a.mean()) / a.std()   # like StandardScaler\n",
+    "scaled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 84,
+   "id": "ae69eeb9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1.28, 0.72, 0.72, 1.28])"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "scaled ** 2   # like PolynomialFeatures"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c60588a",
+   "metadata": {},
+   "source": [
+    "As opposed to that, if we do `PolynomialFeatures` first and then `StandardScalar` next, we will get what we want."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "id": "b02f77e3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([1, 2, 8, 9])"
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "9d63b2ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 1,  4, 64, 81])"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "squared_a = a ** 2 # like PolynomialFeatures\n",
+    "squared_a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "9070d8f6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-1.02735414, -0.94291407,  0.74588725,  1.22438096])"
+      ]
+     },
+     "execution_count": 87,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(squared_a - squared_a.mean()) / squared_a.std()   # like StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c15d7f7d",
+   "metadata": {},
+   "source": [
+    "### Scoring and Metrics\n",
+    "\n",
+    "- https://scikit-learn.org/0.15/modules/model_evaluation.html\n",
+    "- import statements:\n",
+    "```python\n",
+    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+    "from sklearn.metrics import recall_score, precision_score, balanced_accuracy_score\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "3a6f0ce7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pattern: positive => True, negative => False\n",
+    "df = pd.DataFrame([\n",
+    "    [15, True],\n",
+    "    [-2, False],\n",
+    "    [99, True],\n",
+    "    [-10, False],\n",
+    "    [8, True],\n",
+    "    [5, True],\n",
+    "    [-1000, False],\n",
+    "    [-1, False],\n",
+    "], columns=[\"x\", \"y\"])\n",
+    "train, test = df.iloc[:4], df.iloc[4:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "42265b51",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>15</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-2</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>99</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-10</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    x      y\n",
+       "0  15   True\n",
+       "1  -2  False\n",
+       "2  99   True\n",
+       "3 -10  False"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "ca34b8e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>x</th>\n",
+       "      <th>y</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>8</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>-1000</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>-1</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      x      y\n",
+       "4     8   True\n",
+       "5     5   True\n",
+       "6 -1000  False\n",
+       "7    -1  False"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "id": "bf727efd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ True, False, False, False])"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "model = LogisticRegression()\n",
+    "model.fit(train[[\"x\"]], train[\"y\"])\n",
+    "model.predict(test[[\"x\"]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "2122cd03",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.75"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# by default, this uses accuracy_score\n",
+    "model.score(test[[\"x\"]], test[\"y\"])   "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fc2fb8a4",
+   "metadata": {},
+   "source": [
+    "#### `accuracy_score(y_true, y_pred)`\n",
+    "\n",
+    "- same result as invoking `score` method\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 93,
+   "id": "82739834",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.5"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# simple example\n",
+    "accuracy_score([\"A\", \"B\"], [\"A\", \"C\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "013b2f1b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.75"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "accuracy_score(test[\"y\"], model.predict(test[[\"x\"]]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1bdc164a",
+   "metadata": {},
+   "source": [
+    "#### Confusion Matrices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "id": "6c4d3910",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "actual =    [\"dog\", \"dog\", \"dog\", \"dog\", \"cat\", \"cat\", \"cat\", \"mouse\", \"mouse\"]\n",
+    "predicted = [\"dog\", \"dog\", \"dog\", \"cat\", \"cat\", \"dog\", \"cat\", \"mouse\", \"mouse\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "id": "365f3651",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[2, 1, 0],\n",
+       "       [1, 3, 0],\n",
+       "       [0, 0, 2]])"
+      ]
+     },
+     "execution_count": 96,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# ROW: an actual category\n",
+    "# COL: a prediction\n",
+    "confusion_matrix(actual, predicted)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3efa94b0",
+   "metadata": {},
+   "source": [
+    "#### `confusion_matrix(y_true, y_pred)`\n",
+    "\n",
+    "- computes confusion matrix for classification:\n",
+    "    - row dimension represents actual value\n",
+    "    - column dimension represents predicted value\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "id": "12f0a1ff",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[3, 1, 0, 0],\n",
+       "       [1, 2, 0, 0],\n",
+       "       [0, 0, 2, 0],\n",
+       "       [0, 0, 0, 0]])"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "labels = [\"dog\", \"cat\", \"mouse\", \"horse\"]\n",
+    "cm = confusion_matrix(actual, predicted, labels=labels)\n",
+    "cm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 98,
+   "id": "ace44e40",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>dog</th>\n",
+       "      <th>cat</th>\n",
+       "      <th>mouse</th>\n",
+       "      <th>horse</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>dog</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cat</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mouse</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>horse</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       dog  cat  mouse  horse\n",
+       "dog      3    1      0      0\n",
+       "cat      1    2      0      0\n",
+       "mouse    0    0      2      0\n",
+       "horse    0    0      0      0"
+      ]
+     },
+     "execution_count": 98,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.DataFrame(cm, index=labels, columns=labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0614ec05-3271-4501-a119-af413c5f68d3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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@@ -0,0 +1,1727 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f53db4d6",
+   "metadata": {},
+   "source": [
+    "# Classification"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cbd48a28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from sklearn import datasets\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.linear_model import LinearRegression, LogisticRegression\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "\n",
+    "# new import statements\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+    "from sklearn.metrics import recall_score, precision_score, balanced_accuracy_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cff661e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = datasets.load_iris()\n",
+    "df = pd.DataFrame(data[\"data\"], \\\n",
+    "                  columns=data[\"feature_names\"]).drop(columns=[\"petal length (cm)\"])\n",
+    "df.insert(2, \"const\", 1)\n",
+    "df[\"variety\"] = data[\"target_names\"][data[\"target\"]]\n",
+    "df.insert(4, \"setosa\", df[\"variety\"] == \"setosa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "de38eb62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "train, test = train_test_split(df, test_size=10, random_state=5)\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c26bfa5",
+   "metadata": {},
+   "source": [
+    "### Three models\n",
+    "- Model 1: Predict petal width \n",
+    "    - regression problem\n",
+    "- Model 2 - part a: Predict whether flower is \"setosa\"\n",
+    "    - classification problem, specifically binary classification: True / False\n",
+    "- Model 2 - part b: Predict probablity of flower being \"setosa\"\n",
+    "    - classification problem, probablity between 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "260593e1-f609-4f4d-b4f3-a30268d07748",
+   "metadata": {},
+   "source": [
+    "### Model 1: Predict petal width\n",
+    "\n",
+    "- regression problem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e0daea8e-83a3-4017-bb50-7de686e7d9a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"petal width (cm)\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "reg_model = \n",
+    "# 2. fit using train data\n",
+    "\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"pet_width_predictions\"] = \n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4e30aab5-1c21-4210-a034-d3e293579152",
+   "metadata": {},
+   "source": [
+    "Review of `score` method that enables us compute R^2 score."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c05e115-7206-493e-b9cb-2d9167de2028",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# model score"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db3a8a4b-6363-45c4-8f49-18c6db3fb090",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 1: how does it predict?\n",
+    "\n",
+    "Recall that we can extract co-efficients using `<model obj>.coef_`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "af0dc8b0-9504-4508-b188-5027cdce2188",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09c699e3-e329-4b71-9941-89e2ccb96238",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# converting into a vertical array / vector and assigning values to c\n",
+    "c = reg_model.coef_\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "82b95c61-3db7-4b0f-bc70-5db15b9d4303",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assign X\n",
+    "X = \n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29f9ae4f-ab91-4bd7-8404-ccc81aaffeb0",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e6b3f36-84dd-4ccd-8fd4-dcd968d40060",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y = \n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8b58960-044f-49d7-b460-0df0b13edca3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"pet_width_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a195d6e-f4b5-46bd-b658-90edaf93a821",
+   "metadata": {},
+   "source": [
+    "## LogisticRegression\n",
+    "\n",
+    "- classification model\n",
+    "- predict categorical labels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74ff0b7f-2598-4951-8f2e-864b3d38d0e9",
+   "metadata": {},
+   "source": [
+    "### Model 2 - part a: Predict whether flower is \"setosa\"\n",
+    "\n",
+    "- classification problem, specifically binary classification: True / False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c9bef8d-0cad-4eaf-aaf6-54b0c74f174f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"setosa\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "cls_model = \n",
+    "# 2. fit using train data\n",
+    "cls_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"setosa_predictions\"] = cls_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16804669-9ccb-4e4f-b8ba-132ff1b059f5",
+   "metadata": {},
+   "source": [
+    "What is the accuracy? That is what percent of the time is it correct?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "94668b4c-1ed1-4858-ab2c-0db8c3453f12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6bd1701b-8bc4-4fa5-84ce-507fb99cb8db",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 2 - part a: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0fdad409-289d-403d-9a00-fa23ee61f891",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model.coef_.reshape(-1, 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e848657f-0191-4167-b2a9-b5a05e1618d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# converting into a vertical array / vector and assigning values to c\n",
+    "c = "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db789d8a-e820-4182-8ba7-7437712c665a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7ace8a7-37f1-462e-a4f9-7762884f30f0",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c5c9c1c-92b3-4f2f-a8b2-91dee93e9441",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X @ c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0371fbeb-3c5f-423e-8836-494f4fe6ac7c",
+   "metadata": {},
+   "source": [
+    "Negative values => False and positive => True."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d1c3813-cbe7-4593-afae-49ffd450ffb2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# applying boolean condition\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4551cd8-303a-46ef-86f5-9a479cc9f086",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"setosa_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74d71da6-5165-4c6f-a7da-489646fe9885",
+   "metadata": {},
+   "source": [
+    "### Model 2 - part b: Predict probablity of flower being \"setosa\"\n",
+    "\n",
+    "- classification problem, probablity between 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc7465a9-3c76-47a1-9361-4c5be75f131e",
+   "metadata": {},
+   "source": [
+    "#### `<model object>.predict_proba(X)`\n",
+    "\n",
+    "- Calibrated probabilities of classification.\n",
+    "- returns a numpy array of probabilities (that it is True):\n",
+    "    - [[False probablity, True probablity], ...]\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html#sklearn.calibration.CalibratedClassifierCV.predict_proba"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba88ca9c-cc65-48c1-b58a-2ffa98852687",
+   "metadata": {},
+   "source": [
+    "Extract just the True probablities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d0988e6-750f-4acc-90ff-e4fe908e49bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model.predict_proba(test[xcols])???"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2c30a6e-4c84-4e75-960c-4734fa8ba1c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test[\"setosa_prob\"] = cls_model.predict_proba(test[xcols])[:, 1]\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7674c16f-5bd2-4bdf-85fe-a70a39c7b6f5",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 2 - part b: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "608b28c6-5196-4428-8d54-2b7fb9a77eac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def sigmoid(x):\n",
+    "    return 1 / (1 + np.exp(-x))\n",
+    "\n",
+    "x = np.arange(-10, 10, 0.1)\n",
+    "y = sigmoid(x)\n",
+    "plt.plot(x, y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a37f01b-0132-41cd-92da-c86ea61ded46",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b2113bc-d835-4048-a5fe-6a809584bd5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Predict the probability of True\n",
+    "sigmoid(X @ c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b46530f-80e6-4153-a99d-ed65eb130ae6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"setosa_prob\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05949884",
+   "metadata": {},
+   "source": [
+    "### Model 3: Predict variety of flower\n",
+    "\n",
+    "- classification problem, specifically multi-class classification for `variety`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5b193b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# PREDICT: which of the 3 varieties is a particular Iris?\n",
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = ???\n",
+    "\n",
+    "# 1. initialize model\n",
+    "mult_model = ???\n",
+    "# 2. fit using train data\n",
+    "mult_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"variety_predictions\"] = mult_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6f289e0",
+   "metadata": {},
+   "source": [
+    "What is the accuracy?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aadff6a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6b7b461",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 3: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "618e9526",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.coef_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0452b487",
+   "metadata": {},
+   "source": [
+    "#### Why take a transpose? \n",
+    "Recall from simpler model that the orientation of the array does not match with what we want for c (vertical vector). This still applies for a model that predicts multiple labels - so we still need a transpose - that is before transpose, each row represents the co-efficients for a single label (variety in this example)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b2975ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# taking transpose and assigning values to c\n",
+    "c = mult_model.coef_.T\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d9cafb1",
+   "metadata": {},
+   "source": [
+    "After transposing, each **column** contains coefficients for scoring a different `variety`. \n",
+    "\n",
+    "If you add \"petal length (cm)\" as one more input feature, you will get an initial `3 x 4` matrix for the co-efficients, which is why we need to take a transpose and make it into a `4 x 3` matrix. Try this yourself."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4347f214",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c.shape # 3 varities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75cb66ce",
+   "metadata": {},
+   "source": [
+    "How can we determine name of each `variety`? \n",
+    "\n",
+    "#### `<model object>.classes_`\n",
+    "\n",
+    "- ndarray containing label for each class.\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5dc7d56",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.???"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3fd17a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8b09ee5",
+   "metadata": {},
+   "source": [
+    "Extracting \"setosa\" co-efficients."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d7fceffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# we need a 2-D array\n",
+    "setosa_c = mult_model.coef_.T[ROW, COL]\n",
+    "setosa_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a70c00c",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction just for \"setosa\" `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "89bd4836",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X @ setosa_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f1dc05ce",
+   "metadata": {},
+   "source": [
+    "Repeating for other varities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9b2af9c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# versicolor scores\n",
+    "versicolor_c = mult_model.coef_.T[:, [1]] \n",
+    "X @ versicolor_c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "096c4a7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# virginica scores\n",
+    "virginica_c = mult_model.coef_.T[:, [2]] \n",
+    "X @ virginica_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f817bd39",
+   "metadata": {},
+   "source": [
+    "#### Review: how does `MATRIX @ vertical vector` work?\n",
+    "\n",
+    "- MATRIX (data) @ vertical vector (coef) gets computed using the below LOOP:\n",
+    "    - For each DATA ROW of MATRIX\n",
+    "        - ROW (horizontal) @ c (vertical)\n",
+    "\n",
+    "#### How does `MATRIX 1 @ MATRIX 2` work?\n",
+    "\n",
+    "- MATRIX 1 (data) @ MATRIX 2 (coef) gets computed using the below NESTED LOOP:\n",
+    "    - For each DATA ROW of MATRIX 1\n",
+    "        - For each COEFFICIENT COLUMN of MATRIX 2\n",
+    "            - compute the vector @ vector (dot product)\n",
+    "            \n",
+    "Computing all predictions.            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e6c1ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# all varities\n",
+    "c = mult_model.coef_.T\n",
+    "X @ c\n",
+    "# Largest score determines the classification prediction output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5312de8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test[\"variety_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "915a84c0",
+   "metadata": {},
+   "source": [
+    "### `max`, `argmax` methods on `np.array` \n",
+    "\n",
+    "- `max`: returns max value\n",
+    "- `argmax`: returns index of the max value\n",
+    "- same idea for min, argmin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a176050",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = np.array([1, 2, 9, 8, 7])\n",
+    "a.max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d7a2214",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a.argmax()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5d1c730",
+   "metadata": {},
+   "source": [
+    "Let's convert `X @ c` to actual label predictions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "579d769c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# gives the index of tha max value\n",
+    "(X @ c).argmax()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "05e6c697",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# we want max of each row\n",
+    "(X @ c).argmax(axis=???)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7d89d2f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.classes_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eea23815",
+   "metadata": {},
+   "source": [
+    "`<model obj>.classes_` can return labels given a list of indices."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eee36c14",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.classes_[[0, 1, 2, 0, 1, 2]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9056a031",
+   "metadata": {},
+   "source": [
+    "Putting `argmax` and `classes_` together."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c953b4cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.classes_[???]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f73217",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.Series(mult_model.classes_[(X @ c).argmax(axis=1)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e98b6e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test[\"variety_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d7edd2f",
+   "metadata": {},
+   "source": [
+    "### Review: LinearRegression visualization\n",
+    "\n",
+    "- recall that we would draw a \"fit line\" to visualize how well LinearRegression performs when there is only one input feature (X)\n",
+    "    - it was hard to draw a visualization when we had more than one input features (X)"
+   ]
+  },
+  {
+   "attachments": {
+    "Visualization_goal.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "472263d6",
+   "metadata": {},
+   "source": [
+    "### Visualize Decision Boundaries\n",
+    "\n",
+    "- we can draw something called \"decision boundaries\" to visualize how well LogisticRegression performs when we only hae two input variables. For example: sepal length and sepal width.\n",
+    "\n",
+    "<div>\n",
+    "<img src=\"attachment:Visualization_goal.png\" width=\"500\"/>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa2490cc",
+   "metadata": {},
+   "source": [
+    "Recall that we can use `np.arange` to generate a range of numbers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b331edc0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.arange(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "513615b0",
+   "metadata": {},
+   "source": [
+    "### `np.meshgrid(x1, x2, ...)`\n",
+    "\n",
+    "- Make N-D coordinate arrays given one-dimensional coordinate arrays x1, x2,…, xn.\n",
+    "- Returns an array of arrays.\n",
+    "- documentation: https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9665b129",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc8da130",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# in each cell, the number is the x-coordinate of that position\n",
+    "X "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "be8da772",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# in each cell, the number is the y-coordinate of that position\n",
+    "Y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0eaf9fd3",
+   "metadata": {},
+   "source": [
+    "#### `Z = F(X, Y)`, where `F(X, Y) = X * Y`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "940e5158",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Z = X * Y    \n",
+    "Z"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "faa6f04f",
+   "metadata": {},
+   "source": [
+    "### Contour visualizations\n",
+    "\n",
+    "- enables us to visualize a 3-D structure like a mountain using 2-D visualization\n",
+    "- example: https://en.wikipedia.org/wiki/Contour_line#/media/File:Contour2D.svg\n",
+    "- for classification result:\n",
+    "    - we have True / False\n",
+    "    - so we will have a contour that has two plateaus:\n",
+    "        - a higher plateau for True\n",
+    "        - a lower plateau for False\n",
+    "    - x and y-coordinates will be the input features\n",
+    "        \n",
+    "### `plt.contourf(X, Y, Z, levels=<num>)`\n",
+    "\n",
+    "- enables us to produce contour lines and filled contours\n",
+    "    - larger the number => brighter the color\n",
+    "- `levels`: determines the number and positions of the contour lines / regions\n",
+    "- documentation: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.contourf.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "baeed9ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# countourf plot with X, Y, Z\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a730afe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# higher granularity, by adding levels=100\n",
+    "plt.contourf(X, Y, Z)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f852a7c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c6e7bf0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[xcols]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b4ada454",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sepl, sepw = np.meshgrid(np.arange(0, 10, 0.1), np.arange(0, 10, 0.1))\n",
+    "sepl"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe81ddb2",
+   "metadata": {},
+   "source": [
+    "#### `predictions = F(sepl, sepw)`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b73ed58",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predict_df = pd.DataFrame({\n",
+    "    'sepal length (cm)': sepl,\n",
+    "    'sepal width (cm)': sepw,\n",
+    "    'const': 1\n",
+    "})\n",
+    "predict_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88404282",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Z_predictions = cls_model.predict(predict_df)\n",
+    "Z_predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "296c2b67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(sepl.shape)\n",
+    "print(sepw.shape)\n",
+    "print(Z_predictions.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2972e456",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "532624e9",
+   "metadata": {},
+   "source": [
+    "#### How can we extract `AxesSubplot` object instance? We need to use a function called `plt.gca()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8d6fe5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))\n",
+    "# get current axes subplot\n",
+    "???\n",
+    "df.plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                              ax=ax, color=\"r\", label=\"Setosa\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e08f0d7a",
+   "metadata": {},
+   "source": [
+    "#### Visualizing Multiple-classification Boundaries (self-study example)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b5007255",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "classes_ = list(mult_model.classes_)\n",
+    "classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f51b24d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "classes_.index(\"versicolor\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f21476bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in mult_model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2ea1f4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16e68d01",
+   "metadata": {},
+   "source": [
+    "#### Can we do better by creating a `Pipeline` of `PolynomialFeatures` and `LogisticRegression` models?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39329fe6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"setosa\"\n",
+    "\n",
+    "# Let's create a Pipeline\n",
+    "model = ???\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cfb361c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sepl, sepw = np.meshgrid(np.arange(0, 10, 0.1), np.arange(0, 10, 0.1))\n",
+    "predict_df = pd.DataFrame({\n",
+    "    'sepal length (cm)': sepl.reshape(-1),\n",
+    "    'sepal width (cm)': sepw.reshape(-1),\n",
+    "    'const': 1\n",
+    "})\n",
+    "Z_predictions = model.predict(predict_df)\n",
+    "Z_predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "162750bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca()\n",
+    "df[df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                              ax=ax, color=\"r\", label=\"Setosa\")\n",
+    "df[~df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                               ax=ax, \n",
+    "                               color=\"0.8\", label=\"Not Setosa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0104c1a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86e6c1ef",
+   "metadata": {},
+   "source": [
+    "#### LogisticRegression uses an \"iterative algorithm\"\n",
+    "\n",
+    "- chooses some random coefficients\n",
+    "- LOOP (some fixed number of iterations/\"epochs\")\n",
+    "    - tweaks the coefficients to get slightly better accuracy\n",
+    "    - if accuarcy isn't improving much:\n",
+    "        - exit the loop early"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "634efdb9",
+   "metadata": {},
+   "source": [
+    "#### Solution 1: increase number of iterations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "48326e01",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False, max_iter=???)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "23928789",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c928e072",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d6d7857",
+   "metadata": {},
+   "source": [
+    "#### Solution 2: Transform the data into something LogisticRegression can learn from more quickly\n",
+    "\n",
+    "- LogisticRegression likes data that is standardized:\n",
+    "    1. \"small\" numbers\n",
+    "    2. \"centered\" numbers (average of the column is 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bca3ab66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = np.array([1, 2, 8, 9])\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da44090f",
+   "metadata": {},
+   "source": [
+    "How do we get \"centered\" numbers?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "820626cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a - a.mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6e319e8",
+   "metadata": {},
+   "source": [
+    "How do we get \"small\" numbers?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d42af4a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a / 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e757c34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a / a.std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f58851b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# LogisticRegression would like to learn from a column of data that looks like this\n",
+    "(a - a.mean()) / a.std()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5227aa05",
+   "metadata": {},
+   "source": [
+    "### `StandardScaler`\n",
+    "\n",
+    "- requires import: `from sklearn.preprocessing import StandardScaler`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ecc4a9bf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "StandardScaler().???"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5eeb7578",
+   "metadata": {},
+   "source": [
+    "#### Recommendations: \n",
+    "\n",
+    "1. Always use StandardScaler with LogisticRegression\n",
+    "2. PolynomialFeatures should be BEFORE StandardScaler (when using both)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13ff43f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# solution 2: use StandardScaler\n",
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False, max_iter=100)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "57239e27",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5469390e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650d5424",
+   "metadata": {},
+   "source": [
+    "Why should we use `PolynomialFeatures` before `StandardScaler`?\n",
+    "\n",
+    "1. Data won't be centered if second step is `PolynomialFeatures`\n",
+    "2. Also, when you square after standardization, small and large numbers have same value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "08cabe29",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "868eba1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaled = (a - a.mean()) / a.std()   # like StandardScaler\n",
+    "scaled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae69eeb9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaled ** 2   # like PolynomialFeatures"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c60588a",
+   "metadata": {},
+   "source": [
+    "As opposed to that, if we do `PolynomialFeatures` first and then `StandardScalar` next, we will get what we want."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b02f77e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d63b2ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "squared_a = a ** 2 # like PolynomialFeatures\n",
+    "squared_a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9070d8f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(squared_a - squared_a.mean()) / squared_a.std()   # like StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c15d7f7d",
+   "metadata": {},
+   "source": [
+    "### Scoring and Metrics\n",
+    "\n",
+    "- https://scikit-learn.org/0.15/modules/model_evaluation.html\n",
+    "- import statements:\n",
+    "```python\n",
+    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+    "from sklearn.metrics import recall_score, precision_score, balanced_accuracy_score\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a6f0ce7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pattern: positive => True, negative => False\n",
+    "df = pd.DataFrame([\n",
+    "    [15, True],\n",
+    "    [-2, False],\n",
+    "    [99, True],\n",
+    "    [-10, False],\n",
+    "    [8, True],\n",
+    "    [5, True],\n",
+    "    [-1000, False],\n",
+    "    [-1, False],\n",
+    "], columns=[\"x\", \"y\"])\n",
+    "train, test = df.iloc[:4], df.iloc[4:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42265b51",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca34b8e0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bf727efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = LogisticRegression()\n",
+    "model.fit(train[[\"x\"]], train[\"y\"])\n",
+    "model.predict(test[[\"x\"]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2122cd03",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# by default, this uses accuracy_score\n",
+    "model.score(test[[\"x\"]], test[\"y\"])   "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "418b46aa",
+   "metadata": {},
+   "source": [
+    "#### `accuracy_score(y_true, y_pred)`\n",
+    "\n",
+    "- same result as invoking `score` method\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53afe3ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# simple example\n",
+    "accuracy_score([\"A\", \"B\"], [\"A\", \"C\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "013b2f1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "accuracy_score(ACTUAL, PREDICTED)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1bdc164a",
+   "metadata": {},
+   "source": [
+    "#### Confusion Matrices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c4d3910",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "actual =    [\"dog\", \"dog\", \"dog\", \"dog\", \"cat\", \"cat\", \"cat\", \"mouse\", \"mouse\"]\n",
+    "predicted = [\"dog\", \"dog\", \"dog\", \"cat\", \"cat\", \"dog\", \"cat\", \"mouse\", \"mouse\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "365f3651",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ROW: an actual category\n",
+    "# COL: a prediction\n",
+    "confusion_matrix(actual, predicted)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3efa94b0",
+   "metadata": {},
+   "source": [
+    "#### `confusion_matrix(y_true, y_pred)`\n",
+    "\n",
+    "- computes confusion matrix for classification:\n",
+    "    - row dimension represents actual value\n",
+    "    - column dimension represents predicted value\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12f0a1ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labels = [\"dog\", \"cat\", \"mouse\", \"horse\"]\n",
+    "cm = confusion_matrix(actual, predicted, labels=labels)\n",
+    "cm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ace44e40",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame(cm, index=labels, columns=labels)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lecture_material/21-classification/21-classification_002.ipynb b/lecture_material/21-classification/21-classification_002.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..d27e29fb779edd5d94c20b2b71df07dc5540b35d
--- /dev/null
+++ b/lecture_material/21-classification/21-classification_002.ipynb
@@ -0,0 +1,1727 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f53db4d6",
+   "metadata": {},
+   "source": [
+    "# Classification"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cbd48a28",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from sklearn import datasets\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.linear_model import LinearRegression, LogisticRegression\n",
+    "from sklearn.pipeline import Pipeline\n",
+    "from sklearn.preprocessing import PolynomialFeatures\n",
+    "\n",
+    "# new import statements\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+    "from sklearn.metrics import recall_score, precision_score, balanced_accuracy_score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cff661e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = datasets.load_iris()\n",
+    "df = pd.DataFrame(data[\"data\"], \\\n",
+    "                  columns=data[\"feature_names\"]).drop(columns=[\"petal length (cm)\"])\n",
+    "df.insert(2, \"const\", 1)\n",
+    "df[\"variety\"] = data[\"target_names\"][data[\"target\"]]\n",
+    "df.insert(4, \"setosa\", df[\"variety\"] == \"setosa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "de38eb62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "train, test = train_test_split(df, test_size=10, random_state=5)\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c26bfa5",
+   "metadata": {},
+   "source": [
+    "### Three models\n",
+    "- Model 1: Predict petal width \n",
+    "    - regression problem\n",
+    "- Model 2 - part a: Predict whether flower is \"setosa\"\n",
+    "    - classification problem, specifically binary classification: True / False\n",
+    "- Model 2 - part b: Predict probablity of flower being \"setosa\"\n",
+    "    - classification problem, probablity between 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "260593e1-f609-4f4d-b4f3-a30268d07748",
+   "metadata": {},
+   "source": [
+    "### Model 1: Predict petal width\n",
+    "\n",
+    "- regression problem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e0daea8e-83a3-4017-bb50-7de686e7d9a1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"petal width (cm)\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "reg_model = \n",
+    "# 2. fit using train data\n",
+    "\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"pet_width_predictions\"] = \n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4e30aab5-1c21-4210-a034-d3e293579152",
+   "metadata": {},
+   "source": [
+    "Review of `score` method that enables us compute R^2 score."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c05e115-7206-493e-b9cb-2d9167de2028",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# model score"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db3a8a4b-6363-45c4-8f49-18c6db3fb090",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 1: how does it predict?\n",
+    "\n",
+    "Recall that we can extract co-efficients using `<model obj>.coef_`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "af0dc8b0-9504-4508-b188-5027cdce2188",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09c699e3-e329-4b71-9941-89e2ccb96238",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# converting into a vertical array / vector and assigning values to c\n",
+    "c = reg_model.coef_\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "82b95c61-3db7-4b0f-bc70-5db15b9d4303",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assign X\n",
+    "X = \n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "29f9ae4f-ab91-4bd7-8404-ccc81aaffeb0",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e6b3f36-84dd-4ccd-8fd4-dcd968d40060",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y = \n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c8b58960-044f-49d7-b460-0df0b13edca3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"pet_width_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a195d6e-f4b5-46bd-b658-90edaf93a821",
+   "metadata": {},
+   "source": [
+    "## LogisticRegression\n",
+    "\n",
+    "- classification model\n",
+    "- predict categorical labels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74ff0b7f-2598-4951-8f2e-864b3d38d0e9",
+   "metadata": {},
+   "source": [
+    "### Model 2 - part a: Predict whether flower is \"setosa\"\n",
+    "\n",
+    "- classification problem, specifically binary classification: True / False"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c9bef8d-0cad-4eaf-aaf6-54b0c74f174f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"setosa\"\n",
+    "\n",
+    "# 1. initialize model\n",
+    "cls_model = \n",
+    "# 2. fit using train data\n",
+    "cls_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"setosa_predictions\"] = cls_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16804669-9ccb-4e4f-b8ba-132ff1b059f5",
+   "metadata": {},
+   "source": [
+    "What is the accuracy? That is what percent of the time is it correct?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "94668b4c-1ed1-4858-ab2c-0db8c3453f12",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6bd1701b-8bc4-4fa5-84ce-507fb99cb8db",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 2 - part a: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0fdad409-289d-403d-9a00-fa23ee61f891",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model.coef_.reshape(-1, 1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e848657f-0191-4167-b2a9-b5a05e1618d6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# converting into a vertical array / vector and assigning values to c\n",
+    "c = "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "db789d8a-e820-4182-8ba7-7437712c665a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7ace8a7-37f1-462e-a4f9-7762884f30f0",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c5c9c1c-92b3-4f2f-a8b2-91dee93e9441",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X @ c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0371fbeb-3c5f-423e-8836-494f4fe6ac7c",
+   "metadata": {},
+   "source": [
+    "Negative values => False and positive => True."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d1c3813-cbe7-4593-afae-49ffd450ffb2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# applying boolean condition\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d4551cd8-303a-46ef-86f5-9a479cc9f086",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"setosa_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74d71da6-5165-4c6f-a7da-489646fe9885",
+   "metadata": {},
+   "source": [
+    "### Model 2 - part b: Predict probablity of flower being \"setosa\"\n",
+    "\n",
+    "- classification problem, probablity between 0 to 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc7465a9-3c76-47a1-9361-4c5be75f131e",
+   "metadata": {},
+   "source": [
+    "#### `<model object>.predict_proba(X)`\n",
+    "\n",
+    "- Calibrated probabilities of classification.\n",
+    "- returns a numpy array of probabilities (that it is True):\n",
+    "    - [[False probablity, True probablity], ...]\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html#sklearn.calibration.CalibratedClassifierCV.predict_proba"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba88ca9c-cc65-48c1-b58a-2ffa98852687",
+   "metadata": {},
+   "source": [
+    "Extract just the True probablities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d0988e6-750f-4acc-90ff-e4fe908e49bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model.predict_proba(test[xcols])???"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2c30a6e-4c84-4e75-960c-4734fa8ba1c5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test[\"setosa_prob\"] = cls_model.predict_proba(test[xcols])[:, 1]\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7674c16f-5bd2-4bdf-85fe-a70a39c7b6f5",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 2 - part b: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "608b28c6-5196-4428-8d54-2b7fb9a77eac",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def sigmoid(x):\n",
+    "    return 1 / (1 + np.exp(-x))\n",
+    "\n",
+    "x = np.arange(-10, 10, 0.1)\n",
+    "y = sigmoid(x)\n",
+    "plt.plot(x, y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a37f01b-0132-41cd-92da-c86ea61ded46",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0b2113bc-d835-4048-a5fe-6a809584bd5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Predict the probability of True\n",
+    "sigmoid(X @ c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b46530f-80e6-4153-a99d-ed65eb130ae6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# comparing with model predictions\n",
+    "test[\"setosa_prob\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "05949884",
+   "metadata": {},
+   "source": [
+    "### Model 3: Predict variety of flower\n",
+    "\n",
+    "- classification problem, specifically multi-class classification for `variety`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5b193b9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# PREDICT: which of the 3 varieties is a particular Iris?\n",
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = ???\n",
+    "\n",
+    "# 1. initialize model\n",
+    "mult_model = ???\n",
+    "# 2. fit using train data\n",
+    "mult_model.fit(train[xcols], train[ycol])\n",
+    "# 3. predict for test data and add predictions as a column\n",
+    "test[\"variety_predictions\"] = mult_model.predict(test[xcols])\n",
+    "test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6f289e0",
+   "metadata": {},
+   "source": [
+    "What is the accuracy?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aadff6a5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.score(test[xcols], test[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a6b7b461",
+   "metadata": {},
+   "source": [
+    "##### Math behind model 3: how does it predict?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "618e9526",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.coef_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0452b487",
+   "metadata": {},
+   "source": [
+    "#### Why take a transpose? \n",
+    "Recall from simpler model that the orientation of the array does not match with what we want for c (vertical vector). This still applies for a model that predicts multiple labels - so we still need a transpose - that is before transpose, each row represents the co-efficients for a single label (variety in this example)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6b2975ed",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# taking transpose and assigning values to c\n",
+    "c = mult_model.coef_.T\n",
+    "c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d9cafb1",
+   "metadata": {},
+   "source": [
+    "After transposing, each **column** contains coefficients for scoring a different `variety`. \n",
+    "\n",
+    "If you add \"petal length (cm)\" as one more input feature, you will get an initial `3 x 4` matrix for the co-efficients, which is why we need to take a transpose and make it into a `4 x 3` matrix. Try this yourself."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4347f214",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c.shape # 3 varities"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75cb66ce",
+   "metadata": {},
+   "source": [
+    "How can we determine name of each `variety`? \n",
+    "\n",
+    "#### `<model object>.classes_`\n",
+    "\n",
+    "- ndarray containing label for each class.\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.LabelEncoder.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5dc7d56",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.???"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3fd17a6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# assign X\n",
+    "X = test[xcols].values\n",
+    "X"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8b09ee5",
+   "metadata": {},
+   "source": [
+    "Extracting \"setosa\" co-efficients."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d7fceffe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# we need a 2-D array\n",
+    "setosa_c = mult_model.coef_.T[ROW, COL]\n",
+    "setosa_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a70c00c",
+   "metadata": {},
+   "source": [
+    "Let's use Linear Algebra to do the prediction just for \"setosa\" `y = X @ c`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "89bd4836",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X @ setosa_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f1dc05ce",
+   "metadata": {},
+   "source": [
+    "Repeating for other varities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9b2af9c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# versicolor scores\n",
+    "versicolor_c = mult_model.coef_.T[:, [1]] \n",
+    "X @ versicolor_c"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "096c4a7f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# virginica scores\n",
+    "virginica_c = mult_model.coef_.T[:, [2]] \n",
+    "X @ virginica_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f817bd39",
+   "metadata": {},
+   "source": [
+    "#### Review: how does `MATRIX @ vertical vector` work?\n",
+    "\n",
+    "- MATRIX (data) @ vertical vector (coef) gets computed using the below LOOP:\n",
+    "    - For each DATA ROW of MATRIX\n",
+    "        - ROW (horizontal) @ c (vertical)\n",
+    "\n",
+    "#### How does `MATRIX 1 @ MATRIX 2` work?\n",
+    "\n",
+    "- MATRIX 1 (data) @ MATRIX 2 (coef) gets computed using the below NESTED LOOP:\n",
+    "    - For each DATA ROW of MATRIX 1\n",
+    "        - For each COEFFICIENT COLUMN of MATRIX 2\n",
+    "            - compute the vector @ vector (dot product)\n",
+    "            \n",
+    "Computing all predictions.            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96e6c1ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# all varities\n",
+    "c = mult_model.coef_.T\n",
+    "X @ c\n",
+    "# Largest score determines the classification prediction output"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c5312de8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test[\"variety_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "915a84c0",
+   "metadata": {},
+   "source": [
+    "### `max`, `argmax` methods on `np.array` \n",
+    "\n",
+    "- `max`: returns max value\n",
+    "- `argmax`: returns index of the max value\n",
+    "- same idea for min, argmin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a176050",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = np.array([1, 2, 9, 8, 7])\n",
+    "a.max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d7a2214",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a.argmax()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5d1c730",
+   "metadata": {},
+   "source": [
+    "Let's convert `X @ c` to actual label predictions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "579d769c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# gives the index of tha max value\n",
+    "(X @ c).argmax()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "05e6c697",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# we want max of each row\n",
+    "(X @ c).argmax(axis=???)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7d89d2f9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.classes_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eea23815",
+   "metadata": {},
+   "source": [
+    "`<model obj>.classes_` can return labels given a list of indices."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eee36c14",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.classes_[[0, 1, 2, 0, 1, 2]]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9056a031",
+   "metadata": {},
+   "source": [
+    "Putting `argmax` and `classes_` together."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c953b4cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mult_model.classes_[???]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "58f73217",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.Series(mult_model.classes_[(X @ c).argmax(axis=1)])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3e98b6e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test[\"variety_predictions\"]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d7edd2f",
+   "metadata": {},
+   "source": [
+    "### Review: LinearRegression visualization\n",
+    "\n",
+    "- recall that we would draw a \"fit line\" to visualize how well LinearRegression performs when there is only one input feature (X)\n",
+    "    - it was hard to draw a visualization when we had more than one input features (X)"
+   ]
+  },
+  {
+   "attachments": {
+    "Visualization_goal.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "472263d6",
+   "metadata": {},
+   "source": [
+    "### Visualize Decision Boundaries\n",
+    "\n",
+    "- we can draw something called \"decision boundaries\" to visualize how well LogisticRegression performs when we only hae two input variables. For example: sepal length and sepal width.\n",
+    "\n",
+    "<div>\n",
+    "<img src=\"attachment:Visualization_goal.png\" width=\"500\"/>\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa2490cc",
+   "metadata": {},
+   "source": [
+    "Recall that we can use `np.arange` to generate a range of numbers."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b331edc0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "np.arange(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "513615b0",
+   "metadata": {},
+   "source": [
+    "### `np.meshgrid(x1, x2, ...)`\n",
+    "\n",
+    "- Make N-D coordinate arrays given one-dimensional coordinate arrays x1, x2,…, xn.\n",
+    "- Returns an array of arrays.\n",
+    "- documentation: https://numpy.org/doc/stable/reference/generated/numpy.meshgrid.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9665b129",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc8da130",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# in each cell, the number is the x-coordinate of that position\n",
+    "X "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "be8da772",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# in each cell, the number is the y-coordinate of that position\n",
+    "Y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0eaf9fd3",
+   "metadata": {},
+   "source": [
+    "#### `Z = F(X, Y)`, where `F(X, Y) = X * Y`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "940e5158",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Z = X * Y    \n",
+    "Z"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "faa6f04f",
+   "metadata": {},
+   "source": [
+    "### Contour visualizations\n",
+    "\n",
+    "- enables us to visualize a 3-D structure like a mountain using 2-D visualization\n",
+    "- example: https://en.wikipedia.org/wiki/Contour_line#/media/File:Contour2D.svg\n",
+    "- for classification result:\n",
+    "    - we have True / False\n",
+    "    - so we will have a contour that has two plateaus:\n",
+    "        - a higher plateau for True\n",
+    "        - a lower plateau for False\n",
+    "    - x and y-coordinates will be the input features\n",
+    "        \n",
+    "### `plt.contourf(X, Y, Z, levels=<num>)`\n",
+    "\n",
+    "- enables us to produce contour lines and filled contours\n",
+    "    - larger the number => brighter the color\n",
+    "- `levels`: determines the number and positions of the contour lines / regions\n",
+    "- documentation: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.contourf.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "baeed9ab",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# countourf plot with X, Y, Z\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a730afe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# higher granularity, by adding levels=100\n",
+    "plt.contourf(X, Y, Z)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f852a7c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cls_model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9c6e7bf0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[xcols]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b4ada454",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sepl, sepw = np.meshgrid(np.arange(0, 10, 0.1), np.arange(0, 10, 0.1))\n",
+    "sepl"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fe81ddb2",
+   "metadata": {},
+   "source": [
+    "#### `predictions = F(sepl, sepw)`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b73ed58",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predict_df = pd.DataFrame({\n",
+    "    'sepal length (cm)': sepl,\n",
+    "    'sepal width (cm)': sepw,\n",
+    "    'const': 1\n",
+    "})\n",
+    "predict_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "88404282",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Z_predictions = cls_model.predict(predict_df)\n",
+    "Z_predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "296c2b67",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(sepl.shape)\n",
+    "print(sepw.shape)\n",
+    "print(Z_predictions.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2972e456",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "532624e9",
+   "metadata": {},
+   "source": [
+    "#### How can we extract `AxesSubplot` object instance? We need to use a function called `plt.gca()`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b8d6fe5b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))\n",
+    "# get current axes subplot\n",
+    "???\n",
+    "df.plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                              ax=ax, color=\"r\", label=\"Setosa\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e08f0d7a",
+   "metadata": {},
+   "source": [
+    "#### Visualizing Multiple-classification Boundaries (self-study example)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b5007255",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "classes_ = list(mult_model.classes_)\n",
+    "classes_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f51b24d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "classes_.index(\"versicolor\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f21476bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in mult_model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a2ea1f4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16e68d01",
+   "metadata": {},
+   "source": [
+    "#### Can we do better by creating a `Pipeline` of `PolynomialFeatures` and `LogisticRegression` models?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "39329fe6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"setosa\"\n",
+    "\n",
+    "# Let's create a Pipeline\n",
+    "model = ???\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cfb361c6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sepl, sepw = np.meshgrid(np.arange(0, 10, 0.1), np.arange(0, 10, 0.1))\n",
+    "predict_df = pd.DataFrame({\n",
+    "    'sepal length (cm)': sepl.reshape(-1),\n",
+    "    'sepal width (cm)': sepw.reshape(-1),\n",
+    "    'const': 1\n",
+    "})\n",
+    "Z_predictions = model.predict(predict_df)\n",
+    "Z_predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "162750bc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, Z_predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca()\n",
+    "df[df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                              ax=ax, color=\"r\", label=\"Setosa\")\n",
+    "df[~df[\"setosa\"]].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                               ax=ax, \n",
+    "                               color=\"0.8\", label=\"Not Setosa\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0104c1a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "86e6c1ef",
+   "metadata": {},
+   "source": [
+    "#### LogisticRegression uses an \"iterative algorithm\"\n",
+    "\n",
+    "- chooses some random coefficients\n",
+    "- LOOP (some fixed number of iterations/\"epochs\")\n",
+    "    - tweaks the coefficients to get slightly better accuracy\n",
+    "    - if accuarcy isn't improving much:\n",
+    "        - exit the loop early"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "634efdb9",
+   "metadata": {},
+   "source": [
+    "#### Solution 1: increase number of iterations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "48326e01",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False, max_iter=???)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "23928789",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c928e072",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d6d7857",
+   "metadata": {},
+   "source": [
+    "#### Solution 2: Transform the data into something LogisticRegression can learn from more quickly\n",
+    "\n",
+    "- LogisticRegression likes data that is standardized:\n",
+    "    1. \"small\" numbers\n",
+    "    2. \"centered\" numbers (average of the column is 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bca3ab66",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a = np.array([1, 2, 8, 9])\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "da44090f",
+   "metadata": {},
+   "source": [
+    "How do we get \"centered\" numbers?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "820626cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a - a.mean()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6e319e8",
+   "metadata": {},
+   "source": [
+    "How do we get \"small\" numbers?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d42af4a8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a / 10"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e757c34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a / a.std()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f58851b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# LogisticRegression would like to learn from a column of data that looks like this\n",
+    "(a - a.mean()) / a.std()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5227aa05",
+   "metadata": {},
+   "source": [
+    "### `StandardScaler`\n",
+    "\n",
+    "- requires import: `from sklearn.preprocessing import StandardScaler`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ecc4a9bf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "StandardScaler().???"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5eeb7578",
+   "metadata": {},
+   "source": [
+    "#### Recommendations: \n",
+    "\n",
+    "1. Always use StandardScaler with LogisticRegression\n",
+    "2. PolynomialFeatures should be BEFORE StandardScaler (when using both)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13ff43f3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# solution 2: use StandardScaler\n",
+    "xcols = [\"sepal length (cm)\", \"sepal width (cm)\", \"const\"]\n",
+    "ycol = \"variety\"\n",
+    "\n",
+    "model = Pipeline([\n",
+    "    (\"pf\", PolynomialFeatures(degree=5, include_bias=False)),\n",
+    "    (\"lr\", LogisticRegression(fit_intercept=False, max_iter=100)),\n",
+    "])\n",
+    "model.fit(train[xcols], train[ycol])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "57239e27",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = np.array([classes_.index(name) for name in model.predict(predict_df)])\n",
+    "predictions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5469390e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.contourf(sepl, sepw, predictions.reshape(sepl.shape))\n",
+    "ax = plt.gca() # get current axes\n",
+    "df[df[\"variety\"] == \"setosa\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                           ax=ax, label=\"setosa\", color=\"0.8\")\n",
+    "df[df[\"variety\"] == \"virginica\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                              ax=ax, label=\"virginica\", color=\"r\")\n",
+    "df[df[\"variety\"] == \"versicolor\"].plot.scatter(x=\"sepal length (cm)\", y=\"sepal width (cm)\", \\\n",
+    "                                               ax=ax, label=\"versicolor\", color=\"k\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "650d5424",
+   "metadata": {},
+   "source": [
+    "Why should we use `PolynomialFeatures` before `StandardScaler`?\n",
+    "\n",
+    "1. Data won't be centered if second step is `PolynomialFeatures`\n",
+    "2. Also, when you square after standardization, small and large numbers have same value."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "08cabe29",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "868eba1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaled = (a - a.mean()) / a.std()   # like StandardScaler\n",
+    "scaled"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ae69eeb9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaled ** 2   # like PolynomialFeatures"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c60588a",
+   "metadata": {},
+   "source": [
+    "As opposed to that, if we do `PolynomialFeatures` first and then `StandardScalar` next, we will get what we want."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b02f77e3",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9d63b2ee",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "squared_a = a ** 2 # like PolynomialFeatures\n",
+    "squared_a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9070d8f6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "(squared_a - squared_a.mean()) / squared_a.std()   # like StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c15d7f7d",
+   "metadata": {},
+   "source": [
+    "### Scoring and Metrics\n",
+    "\n",
+    "- https://scikit-learn.org/0.15/modules/model_evaluation.html\n",
+    "- import statements:\n",
+    "```python\n",
+    "from sklearn.metrics import accuracy_score, confusion_matrix\n",
+    "from sklearn.metrics import recall_score, precision_score, balanced_accuracy_score\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3a6f0ce7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pattern: positive => True, negative => False\n",
+    "df = pd.DataFrame([\n",
+    "    [15, True],\n",
+    "    [-2, False],\n",
+    "    [99, True],\n",
+    "    [-10, False],\n",
+    "    [8, True],\n",
+    "    [5, True],\n",
+    "    [-1000, False],\n",
+    "    [-1, False],\n",
+    "], columns=[\"x\", \"y\"])\n",
+    "train, test = df.iloc[:4], df.iloc[4:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42265b51",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ca34b8e0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bf727efd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = LogisticRegression()\n",
+    "model.fit(train[[\"x\"]], train[\"y\"])\n",
+    "model.predict(test[[\"x\"]])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2122cd03",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# by default, this uses accuracy_score\n",
+    "model.score(test[[\"x\"]], test[\"y\"])   "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "418b46aa",
+   "metadata": {},
+   "source": [
+    "#### `accuracy_score(y_true, y_pred)`\n",
+    "\n",
+    "- same result as invoking `score` method\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53afe3ad",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# simple example\n",
+    "accuracy_score([\"A\", \"B\"], [\"A\", \"C\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "013b2f1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "accuracy_score(ACTUAL, PREDICTED)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1bdc164a",
+   "metadata": {},
+   "source": [
+    "#### Confusion Matrices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6c4d3910",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "actual =    [\"dog\", \"dog\", \"dog\", \"dog\", \"cat\", \"cat\", \"cat\", \"mouse\", \"mouse\"]\n",
+    "predicted = [\"dog\", \"dog\", \"dog\", \"cat\", \"cat\", \"dog\", \"cat\", \"mouse\", \"mouse\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "365f3651",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ROW: an actual category\n",
+    "# COL: a prediction\n",
+    "confusion_matrix(actual, predicted)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3efa94b0",
+   "metadata": {},
+   "source": [
+    "#### `confusion_matrix(y_true, y_pred)`\n",
+    "\n",
+    "- computes confusion matrix for classification:\n",
+    "    - row dimension represents actual value\n",
+    "    - column dimension represents predicted value\n",
+    "- documentation: https://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "12f0a1ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "labels = [\"dog\", \"cat\", \"mouse\", \"horse\"]\n",
+    "cm = confusion_matrix(actual, predicted, labels=labels)\n",
+    "cm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ace44e40",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.DataFrame(cm, index=labels, columns=labels)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/lecture_material/21-classification/practice.ipynb b/lecture_material/21-classification/practice.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..da5ae6d0051ce308c79742700e111e79153983c5
--- /dev/null
+++ b/lecture_material/21-classification/practice.ipynb
@@ -0,0 +1,1156 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fb427351",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_29089/2583958525.py:1: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display\n",
+      "  from IPython.core.display import display\n"
+     ]
+    }
+   ],
+   "source": [
+    "from IPython.core.display import display\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import time"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bc65d969",
+   "metadata": {},
+   "source": [
+    "# Confusion Matrices"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "d902cb58",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>87</td>\n",
+       "      <td>54</td>\n",
+       "      <td>74</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>16</td>\n",
+       "      <td>80</td>\n",
+       "      <td>66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>37</td>\n",
+       "      <td>24</td>\n",
+       "      <td>82</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples       87       54       74\n",
+       "oranges      16       80       66\n",
+       "bananas      37       24       82"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many bananas are classified as bananas?   82\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>38</td>\n",
+       "      <td>0</td>\n",
+       "      <td>75</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>9</td>\n",
+       "      <td>52</td>\n",
+       "      <td>93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>39</td>\n",
+       "      <td>71</td>\n",
+       "      <td>13</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples       38        0       75\n",
+       "oranges       9       52       93\n",
+       "bananas      39       71       13"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many bananas are classified as apples?   39\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>30</td>\n",
+       "      <td>3</td>\n",
+       "      <td>95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>29</td>\n",
+       "      <td>28</td>\n",
+       "      <td>94</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>27</td>\n",
+       "      <td>9</td>\n",
+       "      <td>31</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples       30        3       95\n",
+       "oranges      29       28       94\n",
+       "bananas      27        9       31"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many bananas are classified as bananas?   31\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>False</th>\n",
+       "      <th>True</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>30</td>\n",
+       "      <td>44</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>99</td>\n",
+       "      <td>41</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       False  True \n",
+       "False     30     44\n",
+       "True      99     41"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many False Positives are there?   44\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>False</th>\n",
+       "      <th>True</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>63</td>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>4</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       False  True \n",
+       "False     63     30\n",
+       "True       4      3"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many False Negatives are there?   4\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>False</th>\n",
+       "      <th>True</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>75</td>\n",
+       "      <td>30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>90</td>\n",
+       "      <td>94</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       False  True \n",
+       "False     75     30\n",
+       "True      90     94"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many True Positives are there?   94\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>False</th>\n",
+       "      <th>True</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>False</th>\n",
+       "      <td>96</td>\n",
+       "      <td>47</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>True</th>\n",
+       "      <td>38</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       False  True \n",
+       "False     96     47\n",
+       "True      38      5"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "How many True Negatives are there?   96\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "You got 7 of 7 correct.\n"
+     ]
+    }
+   ],
+   "source": [
+    "def question_confusion_matrix():\n",
+    "    labels = [\"apples\", \"oranges\", \"bananas\"]\n",
+    "    data = np.random.randint(0, 100, size=(len(labels), len(labels)))\n",
+    "    df = pd.DataFrame(data, index=labels, columns=labels)\n",
+    "    print(\"Confusion Matrix:\")\n",
+    "    display(df)\n",
+    "    i,j = np.random.randint(0, len(labels), size=2)\n",
+    "    answer = input(f\"How many {labels[i]} are classified as {labels[j]}?  \")\n",
+    "    correct = df.iloc[i,j]\n",
+    "    if int(answer) == correct:\n",
+    "        print(\"Good job!\")\n",
+    "        return True\n",
+    "    else:\n",
+    "        print(\"!\"*40)\n",
+    "        print(f\"Actually, the answer is {correct}\")\n",
+    "        print(\"!\"*40)\n",
+    "        time.sleep(2.5)\n",
+    "        return False\n",
+    "\n",
+    "def question_binary_class(i=0):\n",
+    "    names = [\"True Negatives\", \"False Positives\", \"False Negatives\", \"True Positives\"]\n",
+    "    data = np.random.randint(0, 100, 4)\n",
+    "    df = pd.DataFrame(data.reshape(2,2), index=[False, True], columns=[False, True])\n",
+    "    print(\"Confusion Matrix:\")\n",
+    "    display(df)\n",
+    "    answer = input(f\"How many {names[i]} are there?  \")\n",
+    "    correct = data[i]\n",
+    "    if int(answer) == correct:\n",
+    "        print(\"Good job!\")\n",
+    "        return True\n",
+    "    else:\n",
+    "        print(\"!\"*40)\n",
+    "        print(f\"Actually, the answer is {correct}\")\n",
+    "        print(\"!\"*40)\n",
+    "        time.sleep(2.5)\n",
+    "        return False\n",
+    "    \n",
+    "score = 0\n",
+    "\n",
+    "for i in range(3):\n",
+    "    score += int(question_confusion_matrix())\n",
+    "    print(\"\\n\")\n",
+    "\n",
+    "questions = np.arange(4)\n",
+    "np.random.shuffle(questions)\n",
+    "for i in questions:\n",
+    "    score += int(question_binary_class(i))\n",
+    "    print(\"\\n\")\n",
+    "\n",
+    "print(f\"You got {score} of 7 correct.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d8a614a2",
+   "metadata": {},
+   "source": [
+    "# Precision and Recall"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "04a0059f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples        4        4        2\n",
+       "oranges       0        2        5\n",
+       "bananas       0        4        1"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "What is the recall for apples?   0.4\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>4</td>\n",
+       "      <td>8</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples        0        8        6\n",
+       "oranges       4        8       10\n",
+       "bananas       0        2        4"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "What is the precision for bananas?   0.2\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>18</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples       18        2        0\n",
+       "oranges       6        8        6\n",
+       "bananas       6        2        6"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "What is the recall for apples?   0.9\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples        4        1        2\n",
+       "oranges       3        2        5\n",
+       "bananas       3        4        4"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "What is the precision for apples?   0.4\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>4</td>\n",
+       "      <td>10</td>\n",
+       "      <td>4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples        4       10        4\n",
+       "oranges       2        0       10\n",
+       "bananas       6        6        8"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "What is the recall for bananas?   0.4\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "Confusion Matrix:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>apples</th>\n",
+       "      <th>oranges</th>\n",
+       "      <th>bananas</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>apples</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>oranges</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bananas</th>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         apples  oranges  bananas\n",
+       "apples        1        2        2\n",
+       "oranges       5        0        1\n",
+       "bananas       1        4        7"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdin",
+     "output_type": "stream",
+     "text": [
+      "What is the precision for bananas?   0.7\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Good job!\n",
+      "\n",
+      "\n",
+      "You got 6 of 6 correct.\n"
+     ]
+    }
+   ],
+   "source": [
+    "def question_recall():\n",
+    "    labels = [\"apples\", \"oranges\", \"bananas\"]\n",
+    "    data = np.random.randint(0, 6, size=(len(labels), len(labels)))\n",
+    "    i = np.random.randint(0, len(labels))\n",
+    "    data[i,i] = 0\n",
+    "    data[i,i] = 10 - data[i,:].sum()\n",
+    "    data *= np.random.randint(1,3)\n",
+    "    df = pd.DataFrame(data, index=labels, columns=labels)\n",
+    "    print(\"Confusion Matrix:\")\n",
+    "    display(df)    \n",
+    "    answer = input(f\"What is the recall for {labels[i]}?  \")\n",
+    "    correct = (data[i,i] / data[i,:].sum()).round(1)\n",
+    "    if float(answer) == correct:\n",
+    "        print(\"Good job!\")\n",
+    "        return True\n",
+    "    else:\n",
+    "        print(\"!\"*40)\n",
+    "        print(f\"Actually, the answer is {correct}\")\n",
+    "        print(\"!\"*40)\n",
+    "        time.sleep(2.5)\n",
+    "        return False\n",
+    "    \n",
+    "def question_precision():\n",
+    "    labels = [\"apples\", \"oranges\", \"bananas\"]\n",
+    "    data = np.random.randint(0, 6, size=(len(labels), len(labels)))\n",
+    "    i = np.random.randint(0, len(labels))\n",
+    "    data[i,i] = 0\n",
+    "    data[i,i] = 10 - data[:,i].sum()\n",
+    "    data *= np.random.randint(1,3)\n",
+    "    df = pd.DataFrame(data, index=labels, columns=labels)\n",
+    "    print(\"Confusion Matrix:\")\n",
+    "    display(df)\n",
+    "    answer = input(f\"What is the precision for {labels[i]}?  \")\n",
+    "    correct = (data[i,i] / data[:,i].sum()).round(1)\n",
+    "    if float(answer) == correct:\n",
+    "        print(\"Good job!\")\n",
+    "        return True\n",
+    "    else:\n",
+    "        print(\"!\"*40)\n",
+    "        print(f\"Actually, the answer is {correct}\")\n",
+    "        print(\"!\"*40)\n",
+    "        time.sleep(2.5)\n",
+    "        return False\n",
+    "\n",
+    "score = 0\n",
+    "\n",
+    "for i in range(3):\n",
+    "    score += int(question_recall())\n",
+    "    print(\"\\n\")\n",
+    "    score += int(question_precision())\n",
+    "    print(\"\\n\")\n",
+    "\n",
+    "print(f\"You got {score} of 6 correct.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4049ad04",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}