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{
"cells": [
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style>\n",
" @import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
" @import url('http://fonts.googleapis.com/css?family=Kameron');\n",
" @import url('http://fonts.googleapis.com/css?family=Crimson+Text');\n",
" @import url('http://fonts.googleapis.com/css?family=Lato');\n",
" @import url('http://fonts.googleapis.com/css?family=Source+Sans+Pro');\n",
"\n",
" @import url('http://fonts.googleapis.com/css?family=Lora');\n",
"\n",
"\n",
" body {\n",
" font-family: 'Lora', Consolas, sans-serif;\n",
" -webkit-print-color-adjust: exact important !;\n",
" .alert-block {\n",
" width: 95%;\n",
" margin: auto;\n",
" }\n",
" .rendered_html code\n",
" {\n",
" color: black;\n",
" background: #eaf0ff;\n",
" padding: 1pt;\n",
" font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
" }\n",
" p {\n",
" line-height: 140%;\n",
" }\n",
" strong code {\n",
" background: red;\n",
" }\n",
" .rendered_html strong code\n",
" {\n",
" background: #f5f5f5;\n",
" }\n",
" .CodeMirror pre {\n",
" font-family: 'Source Code Pro', monocco, Consolas, monocco, monospace;\n",
" }\n",
" .cm-s-ipython span.cm-keyword {\n",
" font-weight: normal;\n",
" }\n",
" strong {\n",
" background: #f5f5f5;\n",
" margin-top: 4pt;\n",
" margin-bottom: 4pt;\n",
" padding: 2pt;\n",
" border: 0.5px solid #a0a0a0;\n",
" font-weight: bold;\n",
" color: darkred;\n",
" }\n",
" line-height: 145%;\n",
" }\n",
" li {\n",
" line-height: 145%;\n",
" }\n",
"\n",
" div.output_area pre {\n",
" background: #fff9d8 !important;\n",
" padding: 5pt;\n",
"\n",
" -webkit-print-color-adjust: exact;\n",
"\n",
" h1, h2, h3, h4 {\n",
" font-family: Kameron, arial;\n",
"\n",
" }\n",
" div#maintoolbar {display: none !important;}\n",
" div#site {\n",
" border-top: 20px solid #1F407A;\n",
" border-right: 20px solid #1F407A;\n",
" margin-bottom: 0;\n",
" padding-bottom: 0;\n",
" }\n",
" div#toc-wrapper {\n",
" border-left: 20px solid #1F407A;\n",
" border-top: 20px solid #1F407A;\n",
"\n",
" }\n",
"\n",
" body {\n",
" margin-botton:10px;\n",
" }\n",
" */\n",
"\n",
"</style>\n",
" <script>\n",
"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
" return false;\n",
"}\n",
" </script>\n",
"\n",
"\n",
"<footer id=\"attribution\" style=\"float:left; color:#1F407A; background:#fff; font-family: helvetica;\">\n",
" Copyright (C) 2019-2021 Scientific IT Services of ETH Zurich,\n",
" <p>\n",
" Contributing Authors:\n",
" Dr. Tarun Chadha,\n",
" Dr. Franziska Oschmann,\n",
" Dr. Mikolaj Rybinski,\n",
" Dr. Uwe Schmitt.\n",
" </p<\n",
"</footer>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# IGNORE THIS CELL WHICH CUSTOMIZES LAYOUT AND STYLING OF THE NOTEBOOK !\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline\n",
"%config InlineBackend.figure_format = 'retina'\n",
"import warnings\n",
"warnings.filterwarnings('ignore', category=FutureWarning)\n",
"warnings.filterwarnings('ignore', category=DeprecationWarning)\n",
"from IPython.core.display import HTML; HTML(open(\"custom.html\", \"r\").read())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Chapter 7: Regression\n",
"\n",
"Regression belongs like classification to the field of supervised learning. \n",
"\n",
"<div class=\"alert alert-block alert-warning\">\n",
"<i class=\"fa fa-info-circle\"></i> \n",
"<strong>Regression predicts numerical values</strong> \n",
"in contrast to classification which predicts categories.\n",
"</div>\n",
"\n",
"<img src=\"./images/30416v.jpg\" title=\"made at imgflip.com\" width=35%/>\n",
"<div class=\"alert alert-block alert-warning\">\n",
"<i class=\"fa fa-info-circle\"></i> \n",
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Example: Salmon weight\n",
"\n",
"The dataset `data/salmon.csv` holds measurements of `circumference`, `length` and `weight` for `atlantic` and `sockeye` salmons.\n",
"\n",
"Our goal is to predict `weight` based on the other three features."
]
},
{
"cell_type": "code",
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"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>circumference</th>\n",
" <th>length</th>\n",
" <th>kind</th>\n",
" <th>weight</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>19.0</td>\n",
" <td>59.5</td>\n",
" <td>sockeye</td>\n",
" <td>5.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>18.0</td>\n",
" <td>53.0</td>\n",
" <td>sockeye</td>\n",
" <td>4.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>28.0</td>\n",
" <td>75.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>33.5</td>\n",
" <td>89.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>23.5</td>\n",
" <td>63.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" circumference length kind weight\n",
"0 19.0 59.5 sockeye 5.1\n",
"1 18.0 53.0 sockeye 4.1\n",
"2 28.0 75.5 atlantic 9.1\n",
"3 33.5 89.0 atlantic 15.6\n",
"4 23.5 63.0 atlantic 5.2"
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandas as pd\n",
"\n",
"df.head()"
]
},
{
"cell_type": "code",
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"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>circumference</th>\n",
" <th>length</th>\n",
" <th>kind</th>\n",
" <th>weight</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>95</th>\n",
" <td>24.0</td>\n",
" <td>76.0</td>\n",
" <td>atlantic</td>\n",
" <td>6.7</td>\n",
" </tr>\n",
" <tr>\n",
" <th>96</th>\n",
" <td>18.5</td>\n",
" <td>67.0</td>\n",
" <td>sockeye</td>\n",
" </tr>\n",
" <tr>\n",
" <th>97</th>\n",
" <td>18.0</td>\n",
" <td>59.5</td>\n",
" </tr>\n",
" <tr>\n",
" <th>98</th>\n",
" <td>20.0</td>\n",
" <td>64.5</td>\n",
" <td>atlantic</td>\n",
" <td>4.1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99</th>\n",
" <td>23.0</td>\n",
" <td>75.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" circumference length kind weight\n",
"95 24.0 76.0 atlantic 6.7\n",
"96 18.5 67.0 sockeye 5.0\n",
"97 18.0 59.5 sockeye 4.7\n",
"98 20.0 64.5 atlantic 4.1\n",
"99 23.0 75.0 sockeye 7.2"
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.tail()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us inspect the features and their distributions:"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 619.85x540 with 12 Axes>"
]
},
"metadata": {
"image/png": {
}
},
"output_type": "display_data"
}
],
"source": [
"import seaborn as sns\n",
"sns.set(style=\"ticks\")\n",
"\n",
"sns.pairplot(df, hue=\"kind\", diag_kind=\"hist\");"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"In contrast to our previous examples, our data set contains a non-numerical text column `kind`.\n",
"\n",
"As discussed before a common method to encode categorical features is **one-hot-encoding**, <code>sklearn.preprocessing.OneHotEncoder</code> is a preprocessor which transforms a categorical feature to this encoding:\n"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([[0., 1.],\n",
" [0., 1.],\n",
" [1., 0.],\n",
" [1., 0.],\n",
" [1., 0.]])"
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.preprocessing import OneHotEncoder\n",
"features = df.iloc[:, :-1]\n",
"values = df.iloc[:, -1]\n",
"\n",
"# needs 2d data structure, features.iloc[2] has dimension 1\n",
"encoder = OneHotEncoder(sparse=False)\n",
"one_hot = encoder.fit_transform(features.iloc[:, 2: 3]) \n",
"one_hot[:5, :]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So the one-hot encoder computes two columns with exclusive flags 0 and 1."
]
},
{
"cell_type": "code",
"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>circumference</th>\n",
" <th>length</th>\n",
" <th>is_atlantic</th>\n",
" <th>is_sockeye</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <td>59.5</td>\n",
" <td>sockeye</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <th>1</th>\n",
" <td>18.0</td>\n",
" <td>53.0</td>\n",
" <td>sockeye</td>\n",
" <td>0.0</td>\n",
" <td>1.0</td>\n",
" <th>2</th>\n",
" <td>28.0</td>\n",
" <td>75.5</td>\n",
" <td>atlantic</td>\n",
" <th>3</th>\n",
" <td>33.5</td>\n",
" <td>89.0</td>\n",
" <td>atlantic</td>\n",
" <th>4</th>\n",
" <td>23.5</td>\n",
" <td>63.0</td>\n",
" <td>atlantic</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" circumference length kind is_atlantic is_sockeye\n",
"0 19.0 59.5 sockeye 0.0 1.0\n",
"1 18.0 53.0 sockeye 0.0 1.0\n",
"2 28.0 75.5 atlantic 1.0 0.0\n",
"3 33.5 89.0 atlantic 1.0 0.0\n",
"4 23.5 63.0 atlantic 1.0 0.0"
"metadata": {},
"output_type": "execute_result"
}
],
"features[\"is_atlantic\"] = one_hot[:, 0]\n",
"features[\"is_sockeye\"] = one_hot[:, 1]\n",
"\n",
"features.head()"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
"# we remove the categorical column now:\n",
"del features[\"kind\"]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we prepare the data for training and testing:"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.model_selection import train_test_split\n",
"\n",
"(features_train, features_test, \n",
" values_train, \n",
" values_test) = train_test_split(features, values, random_state=42)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Without further explanation we pick a regression algorithm, more about regrssion algorithms will be discussed later:"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
"from sklearn.kernel_ridge import KernelRidge\n",
"kr = KernelRidge(alpha=.001, kernel=\"rbf\", gamma=.05)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" <i class=\"fa fa-info-circle\"></i> Regression methods in <code>scikit-learn</code> also have <code>fit</code> and <code>predict</code> methods. Thus cross validation, pipelines and hyperparameter-optimization will be available.\n",
" \n",
"</div>"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
"kr.fit(features_train, values_train)\n",
"predicted = kr.predict(features_test)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let us plot how good given and predicted values match on the training data set (sic !)."
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"data": {
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GZPpJnoY0DqbXO6xhv6I1dD8AAABbPPvss7rrrrt0880366abblLv3r3Vpk0b+fr61rhPt27dHFghAMBemIYA+E1SRp5eWb9bVmvt21mt0svrUhTcqjkjpD0IYTRMLyw4QL1CA+u1iGFU50A6BgAAwFDXXHONysvLVVxcrNdff73O7S0Wi/bt2+eAygAA9sI0BEBV8dvS6gyiK1it0rKENK4TD8I0HXAL4wZFyGKxbVuLRRo7MMLYggAAgMcrKirS6dOnZbVabfqnvLzc2SUDAOqBaQiAqjJz8+s1WFCSUrJOKDM336CK4GoYGQ23EB0epAev7VXnbSAWizR1ZBS/uAEAAMN9//33zi4BAPAH9ppOg2kIgOolZ+Y1eD/uYPcMhNFwG8OjQ9X2PD8tS0hTSlbVX+GiOgdq7EBukYI5GDXnHHPZAYDjvPzyy+rcubNGjhwpHx8fZ5cDAB7N3tNpMA0BUL2i4lKH7gfzIYyGW4kOD1J0eBCBG0zLqDnnmMsOABzvvffeU2lpqUaMGOHsUgDAdOz5nW5DUnato5grptOYOjJKV/fuZFNtDZ2GgO+lcHd+vg2LGhu6H8yHMw23FBYcwIc8TMfenWSjjwsAqF1RUZG6du2qZs2aObsUADANew+iMGI6DaYhAGrWO6xhg5wauh/MhwUMAcAF1LeTnJRhWwfYqOMCAOrWt29fHThwQAcPsnAVANjCiAUBGzKdRl2YhgCoWVhwgHqFBtZrn6jOgfxQ40EYGQ0ALsCoOeeYyw4AnOfZZ5/VXXfdpZtvvlk33XSTevfurTZt2sjX17fGfbp16+bACgHAdRgxgtmo6TSYhsA5mI7TPMYNitD0+B02fRe1WKSxAyOMLwoug7+EAOBkRnWSmcsOAJzrmmuuUXl5uYqLi/X666/Xub3FYtG+ffscUBkAuB4jBlEYNZ0G0xA4FuvfmE90eJAevLZXnT8wWSzS1JFRnD8PwzQdAOBkjekkO+O4AADbFBUV6fTp07JarTb9U15e7uySAcApGjOIojZGTafBNASOY8TULXCM4dGhem5cf0V1rv5aieocqOfG9WfdIg/EyGgAcDKjOsnMZQcAzvX99987uwQAMAWjRjAbOZ0G0xAYz4ipW+BY0eFBig4PYooVnIMwGgCczKhOMnPZAQAAwAyMGkRh5HQaTENgPNa/cR9hwQGEz6hE4gAATmZUJ5m57ADAdZSVlWnv3r368ccfVVBQoPHjx+vMmTP66aefFBoa6uzy4IYYhQYzMWoQRcV0GvWZAqQ+02kMjw5V2/P8tCwhTSlZVZ8jqnOgxg5kPuOGYP0bwH0RRgOAkxnVSTa68w0AsM0777yjN954Q8ePH698bPz48Tp48KBGjhypK6+8Us8++6z8/f2dWCXcBQt9wYyMHERh9HQaTENgDKOmbgHgfCxgCAAuYNygCFkstm1bn06yUcdF9TJz87U6MUPLEtK0OjGjzkV1ALi/xx9/XM8995zy8vLUsmVLNWvWrLItLy9P5eXl+uyzzxQXF6dTp045sVK4Axb6glkZuSBgxXQadfWJGzudRlhwgEbHhGvswAiNjgknEG0k1r8B3BdhNAC4AKM6yY7qfHu6pIw8Pbz4K931+ja9tnGfFm/5Qa9t3Ke7Xt+mhxd/paSMho3sAGBuGzdu1Icffqg2bdrozTff1I4dO9SjR4/K9piYGC1dulRt2rTR999/r0WLFjmvWJhefRf64rMJrsbIQRTDo0P13Lj+iupcfeAd1TlQz43rr6t7d7L5mDAW698A7ourFE7DbUzAuYyac4657Iy1ISm71i//FaPQpo6M4gsO4GGWL18ui8Wi2bNnKzo6utpt+vbtq/nz5+svf/mLNmzYoHvuucfBVcJdsNAXzM7oBQGZTsNcWP8GcF92DaP/9re/KSQkRLfffrtatGhhz0PDjTCPHVAzozrJdL6NUd9RaMGtmvP3DfAg+/btU2hoaI1BdIVevXqpc+fOysrKclBlcDcs9AV34YhBFGHBAbzvTYD1bwD3Zdcw+osvvpC3t7fuvfdeex4WboQRhIBtjOok0/m2L0ahAahNcXGxmjdvbtO2/v7+Onr0qMEVwV2x0BfcCYMoUMHoxScBOIddw+gzZ86oY8eOatKkiT0PCzfBCEIA7oRRaADq0r59e2VkZKioqEh+fn41bldQUKD09HS1b9/egdXBnbDQF9wRgyhg9NQtAJzDrgsYDhkyRD/88INSUlLseVi4iYaMIPQUmbn5Wp2YoWUJaVqdmKHM3HxnlwSgDo0ZhQbAMwwdOlTFxcV6/vnna93u2WefVUlJiQYPHuygyuBuWOirZvSzAXNj8UnA/di19/HQQw/pp59+UlxcnIYNG6bo6Gi1adNGvr6+Ne5Dp9szMIKwesyfDZgXo9AA1OXOO+/UmjVr9P777ysrK0sjRozQyZMnJUmpqalKT0/Xe++9p2+++UYtW7bU7bff7uSKYVYs9FUV/WzAfTB1C+Be7BpGX3XVVZIkq9Wq9evXa/369bVub7FYtG/fPnuWABfFPHZVMX82YG6MQgNQl8DAQL355puaMmWKduzYocTExMq22NhYSWf7za1bt9bcuXPVtm1bZ5UKk2Ohr3PRzwbcE1O3AO7Brt+ImecONWEE4bmYPxswP0ahAbDFhRdeqHXr1undd9/V5s2blZ6ersLCQjVv3lydO3fWkCFDNHbsWAUGVn/7MWArFvo6i342AACuza5h9BdffGHPw8GNMILwXA2ZP5tOMuBaGIUGwFb+/v6aNGmSJk2a5OxS4MZY6Oss+tkAALg2uy5gCNSEEYS/acz82QBcy7hBEbJYbNvWnUehAQBcg6cv9EU/GwAA12fYsNOEhARt2bJFmZmZKiwslJ+fn0JDQ3X55Zfrz3/+syy2fnuHW2AE4W+YPxtwH4xCAwC4Gk9e6It+NgAArs/uYfTx48f14IMP6ptvvpF0dlGWCl999ZVWrFih6OhovfzyyyzS4mGYx+4s5s8G3Mvw6FC1Pc9PyxLSlJJV9Qe3qM6BGjswwmWDaE8MKwDAE3jiQl/0swEAcH12DaOLi4t1++23a//+/WrevLmuuuoq9ezZU35+fiooKNCePXv0xRdf6Ntvv9Xdd9+tFStWyMfHx54lwIUxgvAs5s8G3I8ZR6ElZeQpfltatXes9AoN1LhBrhugAwBQHfrZAFyJmb4bAI5k10/dpUuXav/+/brgggv0+uuvVzvy+ciRI5o8ebK+//57vffeexo/frw9S4CLM/sIQntg/mzAfZllFNqGpOxafxjcnX1C0+N3aOrIKLedVxQA4H7oZwNwBQz6AGpn1zB6/fr18vLy0uzZs2ucgqNdu3aaPXu2RowYobVr1xJGeyAzjiC0J+bPBuBMSRl5dd6hIklWq/TyuhQFt2pOZxkAYAru0s/21O9JgDtg0AdQN7uG0RkZGerWrZs6d+5c63bh4eHq1q2bMjIy7Pn0MBmzjCA0gtnnz6aDDJhX/LY0m/72SGcD6WUJaYTRAADTMHM/m9GUgLkx6AOwjV3DaKvVqiZNmti0bZMmTXTmzBl7Pj1gGmadP5sOMmBumbn59RotJkkpWSeUmZvPD05AI5WVlWnv3r368ccfVVBQoPHjx+vMmTP66aefFBoa6uzyALdh1n42oykB82PQB2Abu4bRoaGhSktLU25uroKDg2vc7ujRo0pPT1d4eLg9n75etm/frgULFmj//v06c+aMLrzwQk2ePFkDBw50Wk3wLGabP5sOMmB+yZl5Dd6PMBpouHfeeUdvvPGGjh8/XvnY+PHjdfDgQY0cOVJXXnmlnn32Wfn7+zuxSvv0j48ePar58+fryy+/1LFjx9S+fXuNGjVKd955JwuXw2HM1s9mNCVgfgz6AGxn1zB62LBhmj9/vh555BHNnz+/2g51QUGBHnnkEZWVlWnYsGH2fHqbrVy5UtOnT5ePj48GDBig8vJy7dixQ5MmTdLTTz+tm2++2Sl1wfOYZf5ss3eQXf3/L+AoRcWlDt0PgPT4449r5cqVslqtatWqlUpKSnT69GlJUl5ensrLy/XZZ5/p4MGDWrZsmZo3b+6UOu3RPz5y5IhuvvlmHTlyRD179tSFF16ob7/9VnPmzNHXX3+tt956S02bNnXAqwHM08+WGE0JuAMGfQC2s2sYPWHCBK1cuVKJiYkaPny4rrvuOvXs2VMtWrRQQUGBUlNTtXbtWuXl5alDhw6aOHGiPZ/eJrm5uXriiScUEBCgZcuWKTIyUpKUkpKiiRMnaubMmRoyZEiNCzACRnD1+bPN2kFmWhHgXH6+DfvYb+h+gKfbuHGjPvzwQwUHB2vmzJkaOHCgxo4dq6SkJElSTEyMli5dqoceekjff/+9Fi1apHvuucfhddqrf/zkk0/qyJEj+utf/6p7771XklRUVKQpU6Zo+/btWrJkiW6//XbDXw/we67ez3aH0ZRmCPwBozHoA7Cdlz0PFhAQoLfffludO3dWXl6eFi1apEcffVRTpkzRY489pkWLFikvL0/h4eFauHChAgIc/wG1dOlSlZSUaMKECZUdbUmKiorSpEmTVFxcrBUrVji8LsBVNaaD7EwbkrI1PX5HjbVXTCuyMfmggysDnKd3WMN+fGnofoCnW758uSwWi2bPnl3jVBd9+/bV/PnzZbVatWHDBgdXeJY9+sc//vijtmzZotDQUN19992Vj/v5+WnmzJlq0qSJli5dathrAMyqMaMpnS0pI08PL/5Kd72+Ta9t3KfFW37Qaxv36a7Xt+nhxV8pKcP5NQKOwqAPwHZ2DaMlKSwsTOvWrdOsWbN0zTXXqEePHgoNDdUFF1yga665RrNmzdJHH32kLl262PupbZKQkCBJuvLKK6u0VUwbsm3bNofWBLgyM3aQ6zutCB1leIqw4AD1Cg2s1z5RnQMZ3QQ00L59+xQaGqro6Ohat+vVq5c6d+6srKwsB1V2Lnv0j//3v//JarVq6NCh8vI69ytGhw4d1LNnT+Xk5Cg9Pd1OVQPuwayjKRn4AZyLQR+A7ez6E0x8fLy6du2qAQMG6Prrr9f1119vz8M3mtVqVXp6ury8vKoNw8PCwuTl5aX09HRZrVZZLBYnVAm4FjN2kM06rQjgCOMGRWh6/A6brhGLRRo7MML4ogA3VVxcbPMc0P7+/jp69KjBFVVlr/5xRcgcEVH934wuXbpo9+7d+uGHH9StWzf7vQDA5Mw4mtLs68kARqgY9FGfu4oZ9AFPZdeR0QsWLNA999yjX3/91Z6HtZuTJ0+qpKRE5513XrWreXt7e6t169Y6deqUCgsLaz3WypUrFRcXZ9M/qampRr2kav3nP/9RSEiIQkJC9J///KdK+1NPPVXZvmDBgirtjz76aGV7dbdTTpkypbJ91apVVdpvu+22yvZPP/20SvuNN95Y2b59+/Yq7cOHD69sT0lJqdJ++eWXV7YfOHCgSnufPn0q248cOVKlPTIysrK9oKCgSntFW0hISJW2goKCyrbf38Za4ciRI5Xtffr0qdJ+4MCByvbLL7+8SntKSkpl+/Dhw6u0b9++vbL9xhtvrNL+6aefVrbfdtttVdpXrVpV2T5lypQq7UuXLq1sf/TRRyWd29HN++5T7VkwWXsWTNZP29+vsv/RnR9Vtm9etbhKu6Pee8tn3KhfM7+r0v7jmhcr6yvI2V/5eMW0Irz3XOu993sLFiyobH/qqaeqtPN3z/b3XkSbZnrw2l76fZ5UcV3sWTC58jGLRZo6MkoRbZrx3uO9Z9jfPXfXvn17ZWRkqKioqNbtCgoKlJ6ernbt2jmost/Yq3+cm5srSQoODq62vU2bNpLOLtpYF1fuZ0tc9/R37PuZ8/tRkfXpa+/asLxKu6PeeyMvv1gnM2zra1cM/JB477nae+/3PL2/M+DSyyrbX1+1tcqUk7a+95bPuFHlZ05Xaa+prz12YESD3nuZuflanZihZQlpen3VVt57Jn7veWpf264/p548eVLdunVTy5Yt7XlYuzl16pQk1TpCpVmzZpKkwsJC+fv717hdTk6OEhMT7Vsg4IIaettQu/P87FyJsVxh3j3AUYZHh6rteX5alpCmlKyqozeiOgdq7MCzC3w2tFNTsZhRVoZzph0AXMHQoUP19ttv6/nnn9fTTz9d43bPPvusSkpKNHjwYAdWd5a9+scVx6nYtqZj1BXMS/Sz4VkaMppSks5r4WtQRfbnCuvJANWpWPD+6MlTlY8t/98BrdxT0OAF7++9uqde3/xjrXcOVAz6qG9f+0xpuR5e/NU5fy+Kf/ntrqriM2X1qhVwFruG0T169FB6erp+/vlntW7d2p6Htos/zl9XHauN9/aHhIQoJibGpm1TU1OVn8+HL8zJEzrIkvPn3QMcLTo8SNHhQcrMzdeffjeI4PW7BjXqdsGKTn3F34zfd5Dzfj2tpIw8btWFx7jzzju1Zs0avf/++8rKytKIESN08uRJSWf7h+np6Xrvvff0zTffqGXLlrr99tsdXqO9+scVx6lpGo+KY9hyLPrZ8DQVU2i5MwZ+wNVsSMqudbqZinnPp46Mqtdxh13cSWEd2tg06KO+fj1VUuv38rz809qYfFBX9+5U72MDjmSx2pq+2uDAgQO644471KxZM91xxx3q3bu32rRpI1/fmkMpW+fRs4f8/Hz17dtXQUFB+vLLL6vd5rLLLtPx48e1c+dOu43wjouLU2JiomJiYrRkyRK7HBNwpKSMvHrNMfvcuP5OC5tWJ2botY376r3fPVf31OiYcAMqAjxHXZ166beRIHSSYTRX6X/t3btXU6ZM0ZEjR6oNaq1Wq1q3bq25c+eqb9++Dq/PXv3jKVOmaNOmTXrzzTc1aNCgKu3//ve/tXDhQk2fPl0TJkywW/2ucp6BxjLLZ+iyhDQt3vJDvfe7bUgk61DAZTjq+23FnYJFxaXy8/VW77CgBg36MNP3cXiOxvTB7Doy+sEHH5TFYlFWVpb++c9/1rm9xWLRvn31D40ayt/fX35+fvr5559VWloqb+9zX35paal+/vln+fr6uuxUI4AzRIcH6cFre9ncQXbmBx+rGAPOwWJGQPUuvPBCrVu3Tu+++642b96s9PR0FRYWqnnz5urcubOGDBmisWPHKjAw0Cn12at/XDFXdE1zQh87duyc7QCcqz5TaDmTGRdcBP7IUQvehwUH2GWBQkfVCziKXT8R0tLS6rW9HQdl28Risahbt25KSUlRZmZmlZW8MzIyVF5eXu2k8YCnM0sHmVWMAeegkwzUzN/fX5MmTdKkSZOcXUoV9uofR0ScHfGYnp5ebXvFojz0s4Ga/X4KLXuMpjQCAz9gdpm5+fWegrJi3nNnXIdmqxewhV3D6M8//9yehzPEwIEDlZKSok2bNlXpbG/atEmSnLJ4DGAGZuggS7/Nu2frbUzcMghX5+rXHJ1koHoPPfSQrr/+el1++eVq0qSJs8upkT36xwMHDpQkffHFF3r44YfPmYv68OHDSk1NVUhISJXjA6jKXqMpjcDAD5hdQ+cvT87Mc8r72Gz1Arawaxi9ZcsWdevWTf3797fnYe0qNjZWCxcu1JtvvqnLL79cF110kSRp9+7dWrhwoZo1a6axY8c6uUrAtblyB1ky17QiQG3+uBjg7zV0hW8j0EkGqvfxxx/rk08+UevWrXXttddq1KhR6tWrl7PLqqK+/ePDhw/r1KlTat26deX0Ip06ddLAgQOVkJCg2bNna+rUqZKkoqIi/f3vf1dZWZkmTpzo+BcHwO4Y+AEza+jC9c5a8N5s9QK2sGsYvWDBAhUUFGjr1q0uO+dyx44d9dhjj+npp5/WLbfcogEDBshqtWrHjh0qLS3VrFmzdP755zu7TACNZJZpRYCa1GeFb2cvBkgnGajevffeq/Xr1ysrK0tLlizR0qVL1blzZ40ePVojR45Ux44dnV2ipPr3jx977DElJibqvvvu0/3331/5+BNPPKExY8ZowYIF+uKLLxQeHq5vv/1Wx44d06BBgzRmzBhnvDwAdsbAD5iZ2eY9N1u9gC3s+u48efKkunXr5rJBdIVx48apQ4cOWrhwoXbt2iUfHx/16dNH99xzjy699FJnlwfATswyrQjwR2ZbDJBOMlC9Bx54QA888ID27NmjdevW6ZNPPlFmZqZmz56t2bNn65JLLtH111+v4cOHKyDAuZ9L9ugfd+rUSe+//77mzJmjbdu2KSsrS506ddKtt96q2267rcriiADMi4EfjsN3Gfsy27znZqsXsIVde4Q9evRQenq6fv75Z7Vu3dqeh7a7oUOHaujQoc4uA4ADuPq0IsAfmW0xQDrJQO0uuugiXXTRRXrssce0c+dOrVu3Tp9++qm++eYb7dq1S88884yGDBmiUaNG6corr3Ranbb2j5csWVJjW/v27fXcc8/ZsywALoqBH8Yyy3RtZmO2ec/NVi9gC6+6N7Hds88+q4CAAI0ZM0bvv/++0tLS9Msvv+jUqVM1/gMAgKNl5uZrdWKGliWkaXVihjJz851dUqXGLAboLBWd5PqgkwxPZLFYFBMTo6efflr/+9//9MYbb+jGG2+Ut7e3PvvsMz3wwAPOLhEA6i0sOECjY8I1dmCERseE8/luBxuSsjU9fkeNfcKK6do2Jh90cGXuYdygCFkstm3rCvOem61eoC52HRn94IMPymKxKCsrS//85z/r3N5isWjfvn32LAEAgBqZYYSJWRcDZDEjoH727NmjHTt26JtvvlFRUZEkqVmzZk6uCgDgbGabrs2MzDbvudnqBepi1zA6LS2tXttbbb0HGQCARjLLgoBmXQyQTjJQt3379mn9+vX65JNP9NNPP8lqtcrLy0sDBgzQ9ddfr6uuusrZJQIAnMxs07WZldnmPTdbvUBt7BpGf/755/Y8HAAAdmGmESZmXgyQTjJQ1YEDB7R+/Xp9/PHHysrKknR2QEa3bt00atQoXX/99Wrbtq2TqwQAuILGTNfG9Cj1Z7Z5z81WL1ATu35zDQkJOee/8/LylJmZqfz8fA0dOlRWq1WFhYXy9/e359MCAFArM40wMftigEZ3kul8w0xGjRpVeeeg1WpVUFCQrr32Wl1//fXq2bOnk6sDALgas07XZnZmW/DebPUCf2TIMKrPP/9c8+fPV2pqqqTf5oY+ePCgRo8erZtvvlnTpk2Tt7fzR3EBABrPlQNCs40wcZcVs+3dSTbDfN/AH/3www9q1qyZ/vznP2vUqFG6/PLL1aRJE2eXBQBwUWadrg0A6sPuafC8efM0f/58Wa1WWSwWNWnSRGVlZZKknJwcFRUVadGiRfrhhx/0xhtv0CEHABMzQ0BoxhEmLAZ4LrPM9w380cyZMzV8+HC1aNHC2aUAAEzAzNO1/Z4rD1RBzcx43sxYM+wcRn/11VeaN2+e/P399fDDD2vEiBG6++67lZSUJEnq37+/nn/+eT3zzDPavn27li9frvHjx9uzBBiAixtAdcwSEJpxhAmLAf7GTPN9A3/0f//3f84uAQBgImafrs0MA1VQlRnPmxlrxm/sGkYvXrxYFotF//73vzV06NAq7V5eXho9erSCgoI0adIkffTRR4TRLoyLG0BNzBQQmnWECYsBnmWm+b7h2V544QVZLBZNmjRJrVu3rnysPiwWix555BEjygMAmICZp2szy0AVnMuM582MNeNcdv2mnZycrHbt2lUbRP/e5Zdfrg4dOig9Pd2eTw874uIGUBszBYRmHmHi6Stmm22+b3i2t956SxaLRTfeeGNlGF3xmC0qprgjjAYAz2bG6drMNFAFvzHjeTNjzajKrmF0YWGhOnToYNO2gYGBystr2DyeMBYXN4DamC0gNPMIkwqeumK2Gef7hucaPXq0LBaLAgICqjwGAICtzDhdm5kGquA3ZjxvZqwZVdk1jA4ODlZGRoZKS0vl7V3zoUtKSpSRkaE2bdrY8+lhJ1zcAGpjxoDQjCNMYM75vuG5nn/+eZseAwCgLmaars1sA1VwlhnPmxlrRvXsGkb/6U9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]
},
"metadata": {
"image/png": {
"height": 266,
"width": 721
}
},
"output_type": "display_data"
}
],
"source": [
"def plot_fit_quality(values_test, predicted):\n",
" \n",
" plt.figure(figsize=(12, 4))\n",
" plt.subplot(1, 2, 1)\n",
" plt.scatter(x, predicted - values_test, color='steelblue', marker='o') \n",
" plt.plot([0, len(predicted)], [0, 0], \"k:\")\n",
" max_diff = np.max(np.abs(predicted - values_test))\n",
" plt.ylim([-max_diff, max_diff])\n",
" plt.ylabel(\"error\")\n",
" plt.xlabel(\"sample id\")\n",
"\n",
" plt.subplot(1, 2, 2)\n",
"\n",
" plt.scatter(x, (predicted - values_test) / values_test, color='steelblue', marker='o') \n",
" plt.plot([0, len(predicted)], [0, 0], \"k:\")\n",
" plt.ylim([-.5, .5])\n",
" \n",
" plt.ylabel(\"relative error\")\n",
" plt.xlabel(\"sample id\")\n",
"\n",
" \n",
"plot_fit_quality(values_test, predicted)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For assessing the quality of the predictions of a regression method, we can use multiple methods which we will discuss later in this script.\n",
"\n",
"For our current example we compute the **mean absolute error** which is the average absolute difference between given values $y_i$ and predicted values $\\hat{y}_i$:\n",
"\\frac{1}{n} \\left(\\, |y_1 - \\hat{y}_1| \\, + \\, |y_2 - \\hat{y}_2| \\, + \\, \\ldots \\,+ \\,|y_n - \\hat{y}_n| \\,\\right)\n",
]
},
{
"cell_type": "code",
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"source": [
"import numpy as np\n",
"\n",
"error = np.sum(np.abs(predicted - values_test)) / len(values_test)\n",
"print(error)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Metrics / error measures"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For the classification metrics we introduced (like accuracy, precision, recall, F1) higher numbers indicated better classification performance. \n",
"\n",
"Most regression metrics turn this upside down. E.g. smaller values indicate a better regression model.\n",
"\n",
"| | | | | |\n",
"|----------------|-----------------------------------|------------------------|---|---|\n",
"| classification | accuracy, F1, ... | the larger the better | | |\n",
"| regression |mean absolute error, ... | the smaller the better | | |\n",
"To harmonize this we can flip the sign of the regression scores, e.g."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-0.7122581321318484\n"
]
}
],
"source": [
"error = -np.sum(np.abs(predicted - values_test)) / len(values_test)\n",
"print(error)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now the regression score 0.3 which is better then 0.4 also becomes larger when we flip the sign:"
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-0.3 > -0.4"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The benefit is that we can use hyperparameter optimization functions from `scikit-learn` (which select configurations which yield a large score) without further modification. \n",
"This is why the names of the scores we mention below are prefixed by `neg_`.\n",
"Below some of the [metrics `scikit-learn` offers for measuring regression quality](https://scikit-learn.org/stable/modules/model_evaluation.html#regression-metrics):\n",
"\n",
"### 1. Mean absolute error\n",
"\n",
"This is the metric we used before. Taking absolute values before adding up the deviatons assures that deviations with different signs can not cancel out.\n",
"\n",
"<div class=\"alert alert-block alert-warning\">\n",
" <i class=\"fa fa-info-circle\"></i> <strong>mean absolute error</strong> is defined as \n",
"\\frac{1}{n} \\left(\\, |y_1 - \\hat{y}_1| \\, + \\, |y_2 - \\hat{y}_2| \\, + \\, \\ldots \\,+ \\,|y_n - \\hat{y}_n| \\,\\right)\n",
"The name of the corresponding score in `scikit-learn` is `neg_mean_absolute_error`.\n",
"\n",
"\n",
"### 2. Mean squared error\n",
"\n",
"Here we replace the absolute difference by its squared difference. Squaring also insures positive differences.\n",
"\n",
"<div class=\"alert alert-block alert-warning\">\n",
" <i class=\"fa fa-info-circle\"></i> <strong>mean squared error</strong> is defined as \n",
"\n",
"\n",
"\\frac{1}{n} \\left(\\, (y_1 - \\hat{y}_1)^2 \\, + \\, (y_2 - \\hat{y}_2)^2 \\, \\, \\ldots \\,+ \\,(y_n - \\hat{y}_n)^2 \\,\\right)\n",
"This measure is more sensitive to outliers: A few larger differences contribute more significantly to a larger mean squared error. The name of the corresponding score in `scikit-learn` is `neg_mean_squared_error`.\n",
"\n",
"\n",
"### 3. Median absolute error\n",
"\n",
"<div class=\"alert alert-block alert-warning\">\n",
" <i class=\"fa fa-info-circle\"></i> <strong>median absolute error</strong> is defined as \n",
"\n",
"\n",
"\n",
"\\text{median}\\left(\\,|y_1 - \\hat{y}_1|, \\,|y_2 - \\hat{y}_2|, \\,\\ldots, \\,|y_n - \\hat{y}_n| \\, \\right)\n",
"This measure is less sensitive to outliers than the metrics we discussed before: A few larger differences will not contribute significantly to a larger error value. The name of the corresponding score in `scikit-learn` is `neg_median_absolute_error`.\n",
"\n",
"### 4. Mean squared log error\n",
"\n",
"The formula for this metric can be found [here](https://scikit-learn.org/stable/modules/model_evaluation.html#mean-squared-log-error). \n",
"\n",
"This metric is recommended when your target values are distributed over a huge range of values, like popoluation numbers. \n",
"The previous error metrics would put a larger weight on large target values. One could consider relative deviations to compensate such effects but relative deviations come with other problems like division by zero.\n",
"\n",
"\n",
"The name is `neg_mean_squared_log_error`\n",
"\n",
"\n",
"### 5. Explained variance and $r^2$-score\n",
"\n",
"Two other scores to mention are *explained variance* and $r^2$-score. For both larger values indicate better regression results.\n",
"\n",
"The formula for [r2 can be found here](https://scikit-learn.org/stable/modules/model_evaluation.html#r2-score), the score takes values in the range $0 .. 1$. The name within `scikit-learn` is `r2`.\n",
"\n",
"The formula for [explained variance](https://scikit-learn.org/stable/modules/model_evaluation.html#explained-variance-score), the score takes values up to $1$. The name within `scikit-learn` is `explained_variance`."
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Some algorithms from sklearn\n",
"\n",
"- `sklearn.linear_model.LinearRegression` is a linear regression method, which only works well for target values which can be described as a linear combination of feature values.\n",
"\n",
"\n",
"- `sklearn.kernel_ridge.KernelRidge` is [documented here](https://scikit-learn.org/stable/modules/kernel_ridge.html#kernel-ridge). It combines the kernel trick from SVMs with classical least squares regression.\n",
"\n",
"\n",
"- `sklearn.svm.SVR` is an extension of support vector classification concept to regression, [you find examples here](https://scikit-learn.org/stable/modules/svm.html#svm-regression)\n",
"\n",
"\n",
"- `sklearn.neighbors.KNeighborsRegressor` extends the idea of nearest neighbour classification to regression: Search for similar data points in the learning data set and compute the predicted value from the values from the neighbourhood, e.g. by averaging or by linear interpolation. [Documentation is available here](https://scikit-learn.org/stable/modules/neighbors.html#regression)\n",
"\n",
"\n",
"- `sklearn.tree.DecisionTreeRegressor` expands the concept of decision trees to regression [is documented here](https://scikit-learn.org/stable/modules/tree.html#regression).\n",
"\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## A full pipeline\n",
"\n",
"Let us now try to find a good regressor using `scikit-learn`s hyper-parameter tuning:"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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]
},
"metadata": {
"image/png": {
"height": 266,
"width": 730
},
"output_type": "display_data"
}
],
"source": [
"from sklearn.pipeline import make_pipeline\n",
"from sklearn.preprocessing import StandardScaler, PolynomialFeatures\n",
"from sklearn.kernel_ridge import KernelRidge\n",
"from sklearn.linear_model import LinearRegression\n",
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.decomposition import PCA\n",
"\n",
"\n",
"def eval_regression(p, features, values):\n",
" score = cross_val_score(p, features, values, scoring=\"neg_median_absolute_error\", cv=4).mean()\n",
" print(\"cross val score:\", score)\n",
" \n",
" predicted = p.fit(features_train, values_train).predict(features_test)\n",
" plot_fit_quality(values_test, predicted)\n",
"\n",
" \n",
"p = make_pipeline(PolynomialFeatures(2), PCA(2), LinearRegression())\n",
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [],
"source": [
"p = make_pipeline(PolynomialFeatures(), PCA(), LinearRegression())\n",
"\n",
"param_grid = {'polynomialfeatures__degree': range(3, 6),\n",
" 'pca__n_components': range(3, 11),\n",
" }"
]
},
{
"cell_type": "code",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'pca__n_components': 10, 'polynomialfeatures__degree': 3}\n",
"image/png": 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qq3TLLbfIbDY7u0ygmpy8wlrn0K5PWm6BcvIKWTwSAADUilAbAAAAMIDs7GxNmjRJubm5svxqyGt+fr5yc3P1n//8R0uWLNHcuXMVERHhxEqB6nbm5Dd5P0JtAABQG0JtAAAAwMX9/PPPmjBhgr7//nt17NhR8fHxuuSSS9SqVSsVFhZq9+7dWrFihXJzczVp0iQtX75c/v6EgXANJaXlDt0PAAC4P0JtAAAAwMUtXLhQ33//va688krNnTtXrVq1qtZ+3XXX6Z577tH999+vlJQULVmyRPfee6+TqgWqM/s07bSzqfsBAAD3x0KRAAAAgItbt26dvL299fLLL9cItCu1atVKL7/8spo1a6bPPvvMwRUCdesdGujQ/QAAgPvj0jcAAADg4g4dOqTIyEi1b9++3u06dOigiIgIHTx40EGVAQ0LDfJXr5CARi0WGdU1gPm0AQDV5OQVamdOvkpKy2X28Vbv0EC+KzwYoTYAAADg4kwmk8rKyqzatry8vNpCkoArSOgfoemJ22TNW9NkksbEsdgpAOCc1Ox8JW7eX+vF0V4hAUroH6HoMO7u8TRMPwIAAAC4uO7du+vAgQPKzs6ud7sDBw4oMzNTYWFhDqoMsE50WKAevL6XTKb6tzOZpIdGRBFOAAAkSZ+nHtT0xG113u2z62CBpidu05qdhxxcGZyNkdoAgEbjti/8Fu8JwL6uv/56fffdd3rwwQf15ptvqmPHjjW2+eGHH/SnP/2panvA1QyNDlGHNmYtSd6vtNya4URU1wCNiWO0HQDgnNTsfL26eleDd/lYLNKsVWkKusCX7xAPQqgNALAat33ht3hPAI6RkJCg5cuXKyMjQ0OHDlX//v11ySWXqFWrVioqKlJ6ero2bdqk0tJS9ejRQwkJCc4uGahVdFigosMCuRgKAGhQ4ub9Vk1bJZ0Ltpck7+fcw4MQagMArPJ56sF6r5JX3vb10IgoDendxbHFwSl4TwCO06JFC7377rt68MEHlZKSoi+++EJr166taq+cQzs2NlZ///vf5ePj46xSAauEBvkTYgMA6pSTV9ioBYYlKS23QDl5hXy/eAhCbQBAg7jtC7/FewJwvICAAC1atEjbt2/Xpk2blJOTo+LiYpnNZoWFhWnAgAHq27evs8sEAAA4bztz8pu8H6G2ZyDUBgA0iNu+8Fu8JwDHmjVrlkJCQjRy5Ej17duX8BoAALi1ktJyh+4H4/FydgEAANd2Prd9wT3xngAc78MPP9RLL72kiooKZ5cCAABgd2afpo3Dbep+MB5eabgFFpoB7IfbvvBbvCcAxyspKVH37t3VsmVLZ5cCAABgd71Dm3aXZ1P3g/EQasPQUrPzlbh5f60jBnuFBCihfwS3uwPnidu+8Fu8JwDH69u3r7Zv365Dhw6pSxcWXgUAAO4tNMhfvUICGnWHaFTXAAbReBBCbRjW56kH612kbNfBAk1P3KaHRkRpSG9O/oCm4rYv/BbvCcDxXnzxRd1777269dZbNXr0aPXu3Vvt27eXj49PnfuEh4c7sEIAAADbSugfoemJ26xay8dkksbERdi/KLgMzi5hSKnZ+fUG2pUsFmnWqjQFXeDLiG2gibjtC7/FewJwvGHDhqmiokKlpaV68803G9zeZDJpz549DqgMAADAPqLDAvXg9b0azH9MJumhEVEul/swVa59EWrDkBI377fqSp10Lthekrzf5f64AUbBbV/4Ld4TgOOVlJQ0anuLtR0lAAAAFzY0OkQd2pi1JHm/0nJrnn9EdQ3QmDjXmnrW3lPlEpafQ6gNw8nJK2xUkCJJabkFyskr9MgPOWAL3PaF3+I9ATjW3r17nV0CAACAU0SHBSo6LNAQYa49p8plXbnqvJxdANBYO3PyHbofgF9u+zKZ6t/OVW/7gu3xngAca9asWUpKSlJZWZmzSwEAAHCK0CB/jYoJ05i4CI2KCXO5QLuxU+WmZlufU32eelDTE7fVOcizMixfs/NQY0o2NEZqw3BKSssduh+Ac4x42xfsi/cE4DgffvihysvLNXz4cGeXAgAAgFrYa6pc1pWrHaE2DMfs07S3bVP3swcj3DID1MZIt33BMXhPAI5RUlKi7t27q2XLls4uBQAAAL9hz6lyWVeudq6T8gFW6h3atA9mU/ezJeY/grsIDfInsEQ1vCcA++rbt6+2b9+uQ4cOqUuXxs2/CAAAAPs6n6ly6zuPYl25uhFqw3BCg/zVKySgUR/qqK4BTv8w23OxAKNiZCcAANZ58cUXde+99+rWW2/V6NGj1bt3b7Vv314+Pj517hMeHu7ACgEAADyXvabKtVdY7g4ItWFICf0jND1xm1W3X5hM0pi4CPsXVQ/mP6qOEesAADTOsGHDVFFRodLSUr355psNbm8ymbRnzx4HVAYAAAB7TZXLunJ183J2AUBTRIcF6sHre8lkqn87k0l6aESU0wPSpsx/5K5YsRcAgMYrKSnR6dOnZbFYrPqvoqLC2SUDcFM5eYVakZKtJcn7tSIlWzl5hc4uCQCczl5T5brDunL24v4/IdzW0OgQdWhj1pLk/UrLrRmQRnUN0Jg454/4Zf6jXzBiHQCAptm7d6+zSwDg4bjbEgDqZq+pco28rpy9EWrD0KLDAhUdFujSczMz/9EvWLEXAAAAMB7WBwKAhtljqlyjrivnCEw/ArcQGuSvUTFhGhMXoVExYS714WX+o3POZ8Q6AAD4xdmzZ5WWlqYVK1bo/ffflySdOXNGBw8edHJlANxRY++2TM1u2qAeADA6e02Vm9A/osFj/vrYzl5XzlEYqQ3YGfMfncOIdQAAzt+iRYv01ltv6fjx41WP3XHHHTp06JBGjBihwYMH68UXX5Sfn58TqwTgTrjb0vFc+U5kAPWzx1S5lWF5QxcYXWVdOUdxr9QMcEHMf3QOI9YBADg/f/nLX5SUlCSLxaILLrhAZWVlOn36tCQpPz9fFRUVWrt2rQ4dOqQlS5bI19fXyRXDHRCueTbWB3Is5i0H3IM9pso1yrpyjkSoDdgZ8x+dw4h1AACabs2aNfr4448VFBSkF154QXFxcRozZoxSU1MlSTExMVq8eLGmTZumvXv36r333tN9993n5KphZIRrkLjb0pGYtxxwP6FB/jb9W2iEdeUciTm1AQdg/iNGrAMAcD6WLl0qk8mk2bNnKy4urtZtrrjiCs2bN08Wi0WfffaZgyuEO/k89aCmJ26rc1BGZbi2ZuchB1cGR3OHuy1z8gq1IiVbS5L3a0VKtkuu2cO85QAaw5XXlXMkmw6BfPzxxxUcHKy77rpLrVq1suWhAUNj/iNGrAPA+WA0Bvbs2aMuXbooOjq63u169eqlrl27Kjc310GVwd00NlwLusDXLfuuOMfId1sa6W4D5i0HgMaz6TfNhg0b5O3trfvvv9+WhwXcAvMfnRuxPj1xm1UdNncdsQ4AjWGkE3LYV2lpqcxms1Xb+vn56dixY3auCO6KcM192OKCqFHvtjTSVB7MWw4ATWPTUPvMmTPq3LmzmjVrZsvDAm7D0+c/YsQ6AFjPSCfksL8LL7xQ2dnZKikpqTfcLioqUmZmpi688EIHVgd34Q7hmqf2s3/NlhdEjXi3pdHuNmDecjSEv2tA7Wwaag8cOFBr165VWlqaoqKibHlowK3YerEAI2HEOgA0zGgn5LC/QYMGaeHChXrppZf03HPP1bndiy++qLKyMg0YMMCB1cFdGDlc486Wc+xxQdRod1sa7W4Dd5i3HPbB3zWgfjYNtf/85z/rhx9+0NixY3XttdcqOjpa7du3l4+PT5370OEGPI+nj1gHgIYY7YQc9jdx4kStXLlSH330kQ4ePKhhw4bp5MmTks7Nt52VlaUPP/xQ27dvV+vWrXXXXXc5uWIYkVHDNe5sOcdeF0SNdLelEe82MPK85bAf/q4BDbPpX8HrrrtOkmSxWLR69WqtXr263u1NJpP27NljyxIAGIgnj1gHgLoY8YQc9hcQEKC3335bkydP1n//+19t27atqu0Pf/iDpHN98LZt2+q1115Thw4dnFUqDMyI4Rp3tvzCnhdEjXK3pRHvNjDqvOWwH/6uAdaxae+DufsAAADOjxFPyOEYPXv21KpVq7Rs2TJt2LBBmZmZKi4ulq+vr7p27aqBAwdqzJgxCggIcHapMCgjhmvc2XKOIy6IGuFuSyPebWDEecthX/xdA6xj01B7w4YNtjwcAACAxzHiCTkcx8/PTxMmTNCECROcXQrckNHCNe5s+YUjL4i68t2WRrzbQDLevOWwH/6uAdbzcnYBAAAA+IVRT8gBuIeE/hEymazb1tnh2vkEue6GC6LnGPFuA+mXecsb+uy5wrzlsC/+rgHWs9vZT3JysjZu3KicnBwVFxfLbDYrJCREV111la655hqZrO0pAQAAeBCjnpADcA9GWhSQIPcXXBA9x2h3G/yaUeYth33xdw2wns2/wY4fP64HH3xQ27dvl3RuwZpKX331lZYtW6bo6GjNmjWLBWwAAAB+w8gn5ADcg1HCNYLcX3BB9BdGnsrDCPOWw774uwZYz6bv+tLSUt11113KyMiQr6+vrrvuOl1yySUym80qKirSd999pw0bNuibb77Rfffdp2XLlqlFixa2LAEAAMDwjHxCDsA9GCFcI8j9BRdEf2Gkuw3q4srzlsO++LvmHK78XYe62TTUfv/995WRkaGLLrpIb775Zq0jsY8ePap77rlHe/fu1Ycffqg77rjDliUAAH6FL2fAmNzhhByAe3DlcI0gtzouiP7CKHcbAL/F3zXHSs3OV+Lm/bX+vnuFBCihP38nXJlNQ+3Vq1fLy8tLs2fPrnNqkY4dO2r27NkaPny4PvnkE0JtALADvpwdg4sGsCdOyAGgYQS5v+CCaHVGuNsAqA1/1xzj89SD9f693HWwQNMTt+mhEVEa0ruLY4uDVWwaamdnZys8PFxdu3atd7uwsDCFh4crOzvblk8PABBfzo7ARQM4CifkAFA/gtzquCBak73uNuC72f489XfM3zX7S83Ob/D3K0kWizRrVZqCLvDl9+yCbBpqWywWNWvWzKptmzVrpjNnztjy6QHA4/HlbH9cNIAzuPLt/3C8s2fPavfu3Tpw4ICKiop0xx136MyZM/rhhx8UEhLi7PIAhyPIrY4LovbF4Ab743fM3zV7S9y836qR8NK5c+clyfv5Xbsgm4baISEh2r9/v/Ly8hQUFFTndseOHVNmZqbCwsJs+fSNsnXrVs2fP18ZGRk6c+aMevbsqYkTJ6p///5WHyM7O1uvvfaaduzYoZ9++kkhISEaPXq0EhIS5OXlZcfqAaB2fDnbFxcNADjbokWL9NZbb+n48eNVj91xxx06dOiQRowYocGDB+vFF1+Un5+fE6ukrw3HI8itiQuitsfgBvvjd/wL/q7ZR05eYaPmLJektNwC5eQV8nt3MTbtDV577bUqLy/XI488oqKiolq3KSoq0iOPPKKzZ8/q2muvteXTWy0pKUnjx49XamqqoqKiFB0drdTUVE2cOFHLli2z6hh79+7VzTffrNWrV6tTp06Ki4vT0aNH9de//lWPPvqonX8CAKjpfL6cYZ2mXDQAAFv5y1/+ohkzZig/P1+tW7dWy5Ytq9ry8/NVUVGhtWvXauzYsTp16pTT6qSvDWcKDfLXqJgwjYmL0KiYMAII2ExjBzekZuc7pjA3wu+4dvxds62dOU173zR1P9iPTUdqjxs3TklJSUpJSdHQoUM1cuRIXXLJJWrVqpWKioqUnp6uTz75RPn5+erUqZPGjx9vy6e3yrFjx/T000/L399fS5YsUWRkpCQpLS1N48eP1wsvvKCBAwfWudCldG6alUcffVRFRUV6+eWXdeONN0qSCgoKNG7cOH3yySe69tprNWTIEIf8TAAgnd+XMx2jhnFFH4AzrVmzRh9//LGCgoL0wgsvKC4uTmPGjFFqaqokKSYmRosXL9a0adO0d+9evffee7rvvvscXid9bQDuijsi7Y/fsWN56gjwktJyh+4H+7HpSG1/f38tXLhQXbt2VX5+vt599109+uijmjx5sh577DG9++67ys/PV1hYmBYsWCB/f8d/WBITE1VWVqZx48ZVdbIlKSoqShMnTlRpaWmDI0i2bNmijIwMxcTEVHWyJSkgIEDPPPOMJGnx4sV2qR8A6sKXs31xRR+AMy1dulQmk0mzZ89WXFxcrdtcccUVmjdvniwWiz777DMHV3gOfW0A7shd7ojMySvUipRsLUnerxUp2S5Vn7v8jo0gNTtfD7/3le59c7PeWLNH723cpzfW7NG9b27Ww+995fYj4M0+TRvf29T9YD82f0VCQ0O1atUqrV69Wps2bVJOTo6Ki4tlNpsVFhamAQMGaPjw4WrevLmtn9oqycnJkqTBgwfXaBs8eLBmzZqlzZs3a+rUqU06Rp8+fdSuXTvt2LFDRUVFTp/PEIDn4MvZvrhoAMCZ9uzZoy5duig6Orre7Xr16qWuXbsqNzfXQZVVR18bgDsy+h2R9l540RYjfo3+OzYK5iyXeoc27b3e1P1gPzZNMhITE9W9e3f169dPN954Y7WRFa7AYrEoMzNTXl5e6tatW4320NBQeXl5KTMzUxaLRSaTqdbjZGZmSlK10Se/FhYWpuPHjysrK0uXXXaZ7X4AAKgHX872xUUD5/DU2yKB3yotLZXZbLZqWz8/Px07dszOFdVEXxuAuzLy4AZ7hpi2DMuN/Ds2Cha9Pyc0yF+9QgIadWdAVNcAzkFckE2nH5k/f74mTZqkn3/+2ZaHtZmTJ0+qrKxMbdq0UYsWLWq0e3t7q23btjp16pSKi4vrPE5eXp4kqX379rW2Vz6en9/wlcakpCSNHTvWqv/S09Ot+TFt5u9//7uCg4MVHBysv//97zXan3322ar2+fPn12h/9NFHq9rff//9Gu2TJ0+ual++fHmN9jvvvLOq/YsvvqjRfvPNN1e1b926tUb70KFDq9rT0tJqtF911VVV7VlZWTXa+/TpU9V+9OjRGu2RkZFV7bUtjFrZFhwcXKOtqKioqq22E7ajR49Wtffp06dGe1ZWVlX7VVddVaM9LS2tqn3o0KE12rdu3VrVfvPNN9do/+KLL6ra77zzzhrty5cvr2qfPHlyjfb333+/qr22xZzmz59f1f7ss8/WaOe917T3XuWX83fz76n677fOlp2uatvzzyk1vpx579X93usdGqgftn5U9fvL/7bme+PIpsVV7QV7NlftV8ld33uVbPl377e3Rb61IlmTb7pKv4++SBdF9a1xW6Q7v/ck/u419N7zBBdeeKGys7NVUlJS73ZFRUXKzMxUx44dHVTZL1ytr+3K/WyJz70rfef8lif3dyTee7W99349SKExfe3fDm5w9HvvtyHmzznfVtWX+9ncqv0qQ8xZby6y+r13+133a3ritmrBYP63X1Qd/4sP3tT0xG1as/NQVXt97z2zj3eT+tq//h2743vv1873796Iqy7Trjfu0d5Fj9RoL/3pWNXvdt/S/6ux6L27/d1L6B+hX19br++9ZzJJx7cu9bi/e0Zg0+FjJ0+eVHh4uFq3bm3Lw9pM5Srwvr6+dW5TuYp8cXFxnbczVh7n1yvO13aMhk46JOnIkSNKSUlpcDsAsEZC/wgtbcT2Y+Ii7FaLuwkN8ldg65Y63oh9uKLfNKfPnNX0xG11jiIpLT/r9rdFAr81aNAgLVy4UC+99JKee+65Ord78cUXVVZWpgEDBjiwunNcra9NPxuArRj1jsjGLry4NaNm2FWXXQcLFBzW8DGtHfHr6N/xtv3HlO+732PuBDyU3/ig0p0XvY8OC9SD1/dqcOS6ySQ9NCJK65dsclxxsJpNQ+2LL75YmZmZOnHihNq2bWvLQ9uEl5f1A9Mt9byrmzVrJkl13jJZqaKiosHnCQ4OVkxMjFU1paenq7CQRRAA1K0xt4c1927mlreT2dPFwW2UYeW2JhMXDZqq+PQZj78tEvitiRMnauXKlfroo4908OBBDRs2TCdPnpR0br7trKwsffjhh9q+fbtat26tu+66y+E1ulpfm342AFtpynQFXiaTU8PA02XljV548WATgs+GVI74bai/5ogBJCdLyqr+/9NvDql1QUDVv3uFBKjw1JlGPLux7D58okn7ufOc5UOjQ9ShjVlLkvfrh5qDoxXVNUBj4s5NobN+iePrQ8NMlvp6lI2UlZWlCRMmqGXLlpowYYJ69+6t9u3by8fHp8596hvJYWuFhYXq27evAgMDtWXLllq3+d3vfqfjx4/r66+/rnPE+ahRo5Senq5PP/1U3bt3r9H+4IMP6rPPPtO8efNqXeCmqcaOHauUlBTFxMSw4juAeqVm52tJ8n6l5dbsyP76yxmN19C8hNIvV/QZRdx4D7/3VaPnt/vbH6+0Y0WA6/TBdu/ercmTJ+vo0aO1Br4Wi0Vt27bVa6+9pr59+zq8PiP3tV3lNQY8mauvo5GanV/vnWS/ZjJJMxJindrfXpGSrTfW7Gn0fpOGXKJRMXUPwc7JK9S9b25u9HHfvLd/g6+nPX/Hnt6HX5K8X+9t3Nfo/e4cGOkRA3Vc/e+POzufPphNR2o/+OCDMplMys3N1VNPPdXg9iaTSXv2NP6PbFP5+fnJbDbrxIkTKi8vl7d39R+/vLxcJ06ckI+PT71TqAQFBSk9PV35+fm1drR//PFHSXXPAwgA9hYdFqjosEC+nO3g11f0uWhgWzl5hY0eUeTOt0UCv9WzZ0+tWrVKy5Yt04YNG5SZmani4mL5+vqqa9euGjhwoMaMGaOAgICGD2YH9LUBNIUtFxu0p8ZOV+Dsmu218OLOnIbXDqtrv4b6a/b6HTtqgURXPvdi0fv6hQb5u8xrBevZ9N25f//+hjf6FRsOEreKyWRSeHi40tLSlJOTo/Dw8Grt2dnZqqioqHOl9UoRERHatGmTMjMzFRsbW63NYrHowIEDatasWa2dcABwJKN9ObtyR/DXuGhgH/Y8SQLchZ+fnyZMmKAJEyY4u5Qa6GsDaKyGRs/uOljgUutoGGlwg71CTHuF5ZXs8Ttu7Nzi1kyX8mtGuDBj1HnhgfrYNNRev369LQ9nF3FxcUpLS9O6detqdLTXrVsnSQ0urBMXF6cFCxZo/fr1SkhIqNb2zTffqKCgQDExMXUufgMAqM4IHcHa2POigScG5vY+SQKM7M9//rNuvPFGxcXFNWruakejrw3AWo4aPWtrRhncYK8Q0xEjfm35O7b3nYBGuTDTlHnhWfQers6mofbGjRsVHh5eY0SFK4mPj9eCBQv09ttv66qrrtKll14qSdq1a5cWLFigli1basyYMVXbHzx4UGfOnFFQUJD8/c99mGNiYhQREaEtW7boww8/1OjRoyVJBQUFevbZZyVJ48ePd/BPBgDGZJSOoKMYNeC3BW6LBOr26aef6rPPPlPbtm11/fXX64YbblCvXr2cXVYN9LUBWMveo2ftzdXviLRXiOnIEb+2+B3b805Ao12YSegf0ag5yz1hLm0Ym02HecyfP1/33Xeffv75Z1se1qY6d+6sxx57TEVFRbrtttuqbt+8/fbbVVxcrOeee07t2rWr2n7cuHEaPny41q5dW/WYl5eXXnzxRZnNZj355JMaPXq0HnjgAQ0dOlQZGRkaPXq0rr76amf8eABgKI3tCKZmN61TahSfpx7U9MRtdZ58VAb8a3YecnBljsFtkUDd7r//foWEhKigoECLFy/W6NGjNWzYMM2fP19HjhxxdnlV6GsDsMb5jJ6F9RL6R6iWdYVrZW2IWRmWN4YzR/za807AplyYcabKOcsbek+4yrzwQENsGmqfPHlSYWFh9S784goSEhI0f/58XXbZZfrmm2/03XffqU+fPlq4cKFuvPFGq44RFRWljz76SEOGDFFubq62bNmiTp066dlnn9Uzzzxj3x8AANyE0TqC9kTAb7yTJMCRpk6dqjVr1uhf//qXxo0bp6CgIGVnZ2v27NkaPHiw7rjjDn300UcqLHR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