{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# TP3" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import pandas as pd" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Example 1

" ] }, { "cell_type": "code", "execution_count": 34, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
heightseconds squared
01008.967
112011.989
215015.852
318016.991
420020.284
\n", "
" ], "text/plain": [ " height seconds squared\n", "0 100 8.967\n", "1 120 11.989\n", "2 150 15.852\n", "3 180 16.991\n", "4 200 20.284" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Data loading\n", "df = pd.read_csv('grav.csv')\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [], "source": [ "#selection de la première colonne de notre dataset (height)\n", "X = df.iloc[0:len(df),0]\n", "#selection de deuxième colonnes de notre dataset (seconds squared)\n", "Y = df.iloc[0:len(df),1] " ] }, { "cell_type": "code", "execution_count": 36, "metadata": {}, "outputs": [ { "data": { "image/png": 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5kLMBAMCs5vxN7P79+/Pkk09OB+sHH3yQM2fOZMeOHenv78/u3bvTbDYXfFAAALhszoh96qmn8pnPfGb683vvvZd77703O3fuzP79+/P666/nwIEDCzokAABcad4vdnV1deX5559PZ2dnVq5cmQcffDBDQ0MLMRsAAMxq3hH71ltv5eWXX57+XFVV6vU5H60FAICbZt4RW1VVdu7cmffffz8XL17Mvn37snHjxoWYDQAAZjXvX6Hedddd+drXvpYHHnggU1NT6enpSV9f30LMBgAAs6pVVVW14sKjo+NpNltyaQAAlri2tlo6OlZd//wizgIAADeFiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBAChOvdUDcHMdPXEuB4eGMzo2kY7VKzLQ6M76dWtbPRYAwE0lYpeRoyfOZc/gyUxONZMko2MT2TN4MkmELACwrHicYBk5ODQ8HbCXTU41c3BouEUTAQAsDBG7jIyOTczrOABAqUTsMtKxesW8jgMAlErELiMDje6016/+W9peb8tAo7tFEwEALAwvdi0jl1/e8u0EAMByV6uqqmrFhUdHx9NstuTSAAAscW1ttXR0rLr++UWcBQAAbgoRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUJwbitjx8fH09fXl9OnTSZIjR46kv78/PT09efbZZxd0QAAAmGnOiP3pT3+aBx54ICMjI0mSDz/8MDt27MgLL7yQH/7whzl+/HiGhoYWek4AAJg2Z8Tu378/Tz75ZDo7O5Mkb7zxRu644450dXWlXq+nv78/hw8fXvBBAQDgsvpcP/DUU09d9fndd9/NmjVrpj93dnbm/PnzN38yAAC4jnm/2NVsNlOr1aY/V1V11WcAAFho847YtWvX5sKFC9OfL1y4MP2oAQAALIZ5R+zdd9+dU6dO5Z133smlS5dy6NChbNiwYSFmAwCAWc35TOxMK1asyK5du/Loo49mYmIijUYj991330LMBgAAs6pVVVW14sKjo+NpNltyaQAAlri2tlo6OlZd//wizgIAADeFiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4tRbPcBiOHriXA4ODWd0bCIdq1dkoNGd9evWtnosAAB+Rcs+Yo+eOJc9gyczOdVMkoyOTWTP4MkkEbIAAIVa9o8THBwang7Yyyanmjk4NNyiiQAA+HUt+4gdHZuY13EAAJa+ZR+xHatXzOs4AABL37KP2IFGd9rrV/9lttfbMtDobtFEAAD8upb9i12XX97y7QQAAMtHraqqqhUXHh0dT7PZkksDALDEtbXV0tGx6vrnF3EWAAC4KUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFEbEAABRHxAIAUBwRCwBAcUQsAADFqbfqwm1ttVZdGgCAJW6uVqxVVVUt0iwAAHBTeJwAAIDiiFgAAIojYgEAKI6IBQCgOCIWAIDiiFgAAIojYgEAKI6IBQCgOCIWAIDiLLuIHR8fT19fX06fPp0kOXLkSPr7+9PT05Nnn312+ufefPPNDAwM5Pd+7/fyF3/xF5mammrVyC0xc5327duXvr6+9Pf3Z/v27ZmcnEySPPfcc/nCF76QzZs3Z/Pmzdm7d28rx150M9dp+/bt6enpmV6PV155JYn76cp1Ghoaml6fzZs35957783DDz+cxP303HPPpbe3N729vXn66aeT2KNmM9s62aOuNds62aOuNXOd7FGz+/a3v51Nmzalt7c3L774YpIC9qdqGfm3f/u3qq+vr1q3bl31s5/9rPrggw+qRqNR/cd//Ed18eLFauvWrdU//uM/VlVVVb29vdW//uu/VlVVVdu3b6/27t3bytEX1cx1+vd///dq48aN1X//939XzWaz2rZtW/Xiiy9WVVVVDz/8cPUv//IvrR24RWauU1VVVV9fX3X+/Plrftb9dPU6Xfbuu+9WX/ziF6tTp05VVXVr30//9E//VP3hH/5hNTExUU1OTlZf/vKXq3/4h3+wR80w2zp95zvfsUfNMNs6/ehHP7JHzXC9dbrMHvVLr732WrVly5bq4sWL1QcffFB94QtfqN58880lvz8tq9/E7t+/P08++WQ6OzuTJG+88UbuuOOOdHV1pV6vp7+/P4cPH85//ud/5sMPP8w999yTJBkYGMjhw4dbOfqimrlO7e3tefLJJ7Nq1arUarV86lOfypkzZ5Ikx48fz3e+85309/fnW9/6ViYmJlo5+qKauU4ffPBBzpw5kx07dqS/vz+7d+9Os9l0P81Ypys9/fTT2bJlSz7xiU8kubXvpzVr1uTxxx9Pe3t7brvttnR3d2dkZMQeNcNs6zQ5OWmPmmG2dTpz5ow9aobrrdNl9qhf+uxnP5vvfe97qdfrGR0dzaVLlzI2Nrbk96dlFbFPPfVUPvOZz0x/fvfdd7NmzZrpz52dnTl//vw1x9esWZPz588v6qytNHOdPvaxj+Vzn/tckuTnP/959u7dmy9+8Yv5xS9+kd/+7d/On//5n+ell17K2NhYXnjhhVaNvehmrtN7772Xe++9Nzt37sz+/fvz+uuv58CBA+6nGet02cjISH7yk5/ky1/+cpLc8vfTnXfeOb3pj4yMZHBwMLVazR41w2zr1NfXZ4+aYbZ1+vznP2+PmmG2dWo0GtOf7VH/57bbbsvu3bvT29ub9evXF9FQyypiZ2o2m6nVatOfq6pKrVa77vFb3fnz5/OVr3wlf/AHf5Df+Z3fyUc/+tH89V//dbq7u1Ov17N169YMDQ21esyW6erqyvPPP5/Ozs6sXLkyDz74YIaGhtxP17Fv37780R/9Udrb25PE/fS/3n777WzdujXbtm1LV1eXPeo6rlyny78ls0dd68p1+uQnP2mPuo7Z7id71LW+/vWv5+jRozl79mxGRkaW/P60rCN27dq1uXDhwvTnCxcupLOz85rj77333qz/K/RWMjw8nC1btuT+++/PI488kiQ5c+ZMDhw4MP0zVVWlXq+3asSWe+utt/Lyyy9Pf768Hu6n2b366qvZtGnT9Gf3U3Ls2LE89NBDeeyxx3L//ffbo65j5jol9qjZzFwne9TsZrufEnvUlYaHh/Pmm28mSVauXJmenp689tprS35/WtYRe/fdd+fUqVN55513cunSpRw6dCgbNmzIxz72saxYsSLHjh1Lkvzd3/1dNmzY0OJpW2d8fDx//Md/nG984xvZunXr9PHf+I3fyF/91V/lZz/7Waqqyt69e7Nx48YWTtpaVVVl586def/993Px4sXs27cvGzdudD/N4uc//3k+/PDDdHV1TR+71e+ns2fP5pFHHskzzzyT3t7eJPao2cy2Tvaoa822Tvaoa822Tok9aqbTp0/niSeeyOTkZCYnJ/Pqq69my5YtS35/Wtb/ibFixYrs2rUrjz76aCYmJtJoNHLfffclSZ555pk88cQTGR8fz7p166afibkVHThwIO+9915efPHF6a/V+N3f/d184xvfyLe+9a386Z/+aS5evJhPf/rT+epXv9riaVvnrrvuyte+9rU88MADmZqaSk9PT/r6+pK4n2Y6ffp01q5de9Wx22+//Za+n7773e9mYmIiu3btmj62ZcsWe9QMs63Tpk2b7FEzXO9+skdd7XrrtG7dOnvUFRqNRt5444186Utfykc+8pH09PSkt7c3t99++5Len2pVVVUtuTIAAPyKlvXjBAAALE8iFgCA4ohYAACKI2IBACiOiAUAoDgiFgCA4ohYAACKI2IBACjO/wBnZJpNXM68uwAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "axes = plt.axes()\n", "#dessiner une grille\n", "axes.grid() \n", "#X et Y sont les variables qu'on a extraite dans le partie précédente\n", "plt.scatter(X,Y) \n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from scipy import stats\n", "#linregress() renvoie plusieurs variables de retour. On s'interesse particulierement au slope et intercept\n", "slope, intercept, r_value, p_value, std_err = stats.linregress(X, Y)\n", "def predict(x):\n", " return slope * x + intercept\n", "#la variable fitLine sera un tableau de valeurs prédites depuis la tableau de variables X\n", "fitLine = predict(X)\n", "plt.plot(X, fitLine, c='r')" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.10280912511759172\n" ] } ], "source": [ "print (slope)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-0.6801232361241745\n" ] } ], "source": [ "print (intercept)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Example 2

" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Requirement already satisfied: pyreadstat in c:\\users\\sirine\\anaconda3\\lib\\site-packages (1.0.5)\n", "Requirement already satisfied: pandas>0.24.0 in c:\\users\\sirine\\anaconda3\\lib\\site-packages (from pyreadstat) (1.0.5)\n", "Requirement already satisfied: pytz>=2017.2 in c:\\users\\sirine\\anaconda3\\lib\\site-packages (from pandas>0.24.0->pyreadstat) (2020.1)\n", "Requirement already satisfied: python-dateutil>=2.6.1 in c:\\users\\sirine\\anaconda3\\lib\\site-packages (from pandas>0.24.0->pyreadstat) (2.8.1)\n", "Requirement already satisfied: numpy>=1.13.3 in c:\\users\\sirine\\anaconda3\\lib\\site-packages (from pandas>0.24.0->pyreadstat) (1.18.5)\n", "Requirement already satisfied: six>=1.5 in c:\\users\\sirine\\anaconda3\\lib\\site-packages (from python-dateutil>=2.6.1->pandas>0.24.0->pyreadstat) (1.15.0)\n" ] } ], "source": [ "!pip install pyreadstat" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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schoolschool_settingschool_typeclassroomteaching_methodn_studentstudent_idgenderlunchpretestposttest
0ANKYI1.02.06OL0.020.02FHT31.02.062.072.0
1ANKYI1.02.06OL0.020.03JIVH1.02.066.079.0
2ANKYI1.02.06OL0.020.03XOWE0.02.064.076.0
3ANKYI1.02.06OL0.020.0556O01.02.061.077.0
4ANKYI1.02.06OL0.020.074LOE0.02.064.076.0
5ANKYI1.02.06OL0.020.07YZO81.02.066.074.0
6ANKYI1.02.06OL0.020.09KMZD0.02.063.075.0
7ANKYI1.02.06OL0.020.09USQK1.02.063.072.0
8ANKYI1.02.06OL0.020.0CS5QP0.02.064.077.0
9ANKYI1.02.06OL0.020.0D6HT81.02.061.072.0
\n", "
" ], "text/plain": [ " school school_setting school_type classroom teaching_method n_student \\\n", "0 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "1 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "2 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "3 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "4 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "5 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "6 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "7 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "8 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "9 ANKYI 1.0 2.0 6OL 0.0 20.0 \n", "\n", " student_id gender lunch pretest posttest \n", "0 2FHT3 1.0 2.0 62.0 72.0 \n", "1 3JIVH 1.0 2.0 66.0 79.0 \n", "2 3XOWE 0.0 2.0 64.0 76.0 \n", "3 556O0 1.0 2.0 61.0 77.0 \n", "4 74LOE 0.0 2.0 64.0 76.0 \n", "5 7YZO8 1.0 2.0 66.0 74.0 \n", "6 9KMZD 0.0 2.0 63.0 75.0 \n", "7 9USQK 1.0 2.0 63.0 72.0 \n", "8 CS5QP 0.0 2.0 64.0 77.0 \n", "9 D6HT8 1.0 2.0 61.0 72.0 " ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pyreadstat\n", "df, metadata = pyreadstat.read_sav(\"test_scores.sav\")\n", "df.head(10)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 2133 entries, 0 to 2132\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 school 2133 non-null object \n", " 1 school_setting 2133 non-null float64\n", " 2 school_type 2133 non-null float64\n", " 3 classroom 2133 non-null object \n", " 4 teaching_method 2133 non-null float64\n", " 5 n_student 2133 non-null float64\n", " 6 student_id 2133 non-null object \n", " 7 gender 2133 non-null float64\n", " 8 lunch 2133 non-null float64\n", " 9 pretest 2133 non-null float64\n", " 10 posttest 2133 non-null float64\n", "dtypes: float64(8), object(3)\n", "memory usage: 183.4+ KB\n" ] }, { "data": { "text/html": [ "
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school_settingschool_typeteaching_methodn_studentgenderlunchpretestposttest
count2133.0000002133.0000002133.0000002133.0000002133.0000002133.0000002133.0000002133.000000
mean1.8143461.2583220.35630622.7965310.4950771.56962054.95593167.102203
std0.7935250.4378140.4790194.2288930.5000930.49524513.56310113.986789
min1.0000001.0000000.00000014.0000000.0000001.00000022.00000032.000000
25%1.0000001.0000000.00000020.0000000.0000001.00000044.00000056.000000
50%2.0000001.0000000.00000022.0000000.0000002.00000056.00000068.000000
75%2.0000002.0000001.00000027.0000001.0000002.00000065.00000077.000000
max3.0000002.0000001.00000031.0000001.0000002.00000093.000000100.000000
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" ], "text/plain": [ " school_setting school_type teaching_method n_student gender \\\n", "count 2133.000000 2133.000000 2133.000000 2133.000000 2133.000000 \n", "mean 1.814346 1.258322 0.356306 22.796531 0.495077 \n", "std 0.793525 0.437814 0.479019 4.228893 0.500093 \n", "min 1.000000 1.000000 0.000000 14.000000 0.000000 \n", "25% 1.000000 1.000000 0.000000 20.000000 0.000000 \n", "50% 2.000000 1.000000 0.000000 22.000000 0.000000 \n", "75% 2.000000 2.000000 1.000000 27.000000 1.000000 \n", "max 3.000000 2.000000 1.000000 31.000000 1.000000 \n", "\n", " lunch pretest posttest \n", "count 2133.000000 2133.000000 2133.000000 \n", "mean 1.569620 54.955931 67.102203 \n", "std 0.495245 13.563101 13.986789 \n", "min 1.000000 22.000000 32.000000 \n", "25% 1.000000 44.000000 56.000000 \n", "50% 2.000000 56.000000 68.000000 \n", "75% 2.000000 65.000000 77.000000 \n", "max 2.000000 93.000000 100.000000 " ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Shape of our dataset\n", "df.shape\n", "\n", "# Info our dataset\n", "df.info()\n", "\n", "# Describe our dataset\n", "df.describe()" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\sirine\\anaconda3\\lib\\site-packages\\seaborn\\axisgrid.py:2071: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n", " warnings.warn(msg, UserWarning)\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Using pairplot we'll visualize the data for correlation\n", "sns.pairplot(df, x_vars=['school','school_setting','school_type','classroom','teaching_method','n_student','student_id','gender', 'lunch','pretest'], \n", " y_vars='posttest', size=4, aspect=1, kind='scatter')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizing the data using heatmap\n", "sns.heatmap(df.corr(), cmap=\"YlGnBu\", annot = True)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'posttest')" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Creating X and y\n", "X = df['pretest']\n", "y = df['posttest']\n", "plt.scatter(X,y)\n", "plt.xlabel(\"pretest\")\n", "plt.ylabel(\"posttest\")" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'y' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Splitting the varaibles as training and testing\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodel_selection\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m X_train, X_test, y_train, y_test = train_test_split(X, y, train_size = 0.7, \n\u001b[0m\u001b[0;32m 4\u001b[0m test_size = 0.3, random_state = 100)\n", "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined" ] } ], "source": [ "# Splitting the varaibles as training and testing\n", "from sklearn.model_selection import train_test_split\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size = 0.7, \n", " test_size = 0.3, random_state = 100)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Take a look at the train dataset\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mX_train\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0my_train\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'X_train' is not defined" ] } ], "source": [ "# Take a look at the train dataset\n", "X_train\n", "y_train" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Adding a constant to get an intercept\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mX_train_sm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_constant\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mNameError\u001b[0m: name 'X_train' is not defined" ] } ], "source": [ "# Importing Statsmodels.api library from Stamodel package\n", "import statsmodels.api as sm\n", "\n", "# Adding a constant to get an intercept\n", "X_train_sm = sm.add_constant(X_train)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Fitting the resgression line using 'OLS'\n", "lr = sm.OLS(y_train, X_train_sm).fit()\n", "\n", "# Printing the parameters\n", "lr.params" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Performing a summary to list out all the different parameters of the regression line fitted\n", "lr.summary()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Visualizing the regression line\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[1;33m,\u001b[0m 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"outputs": [ { "ename": "NameError", "evalue": "name 'lr' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Predicting y_value using traingn data of X\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0my_train_pred\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train_sm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Creating residuals from the y_train data and predicted y_data\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mres\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0my_train\u001b[0m \u001b[1;33m-\u001b[0m \u001b[0my_train_pred\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'lr' is not defined" ] } ], "source": [ "# Predicting y_value using traingn data of X\n", "y_train_pred = lr.predict(X_train_sm)\n", "\n", "# Creating residuals from the y_train data and predicted y_data\n", "res = (y_train - y_train_pred)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'res' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Plotting the histogram using the residual values\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[0mfig\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m \u001b[0msns\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdistplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mres\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbins\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;36m15\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtitle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Error Terms'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfontsize\u001b[0m \u001b[1;33m=\u001b[0m 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plotting the histogram using the residual values\n", "fig = plt.figure()\n", "sns.distplot(res, bins = 15)\n", "plt.title('Error Terms', fontsize = 15)\n", "plt.xlabel('y_train - y_train_pred', fontsize = 15)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Looking for any patterns in the residuals\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mres\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'X_train' is not defined" ] } ], "source": [ "# Looking for any patterns in the residuals\n", "plt.scatter(X_train,res)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_test' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Adding a constant to X_test\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mX_test_sm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0msm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd_constant\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Predicting the y values corresponding to X_test_sm\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0my_test_pred\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlr\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test_sm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'X_test' is not defined" ] } ], "source": [ "# Adding a constant to X_test\n", "X_test_sm = sm.add_constant(X_test)\n", "\n", "# Predicting the y values corresponding to X_test_sm\n", "y_test_pred = lr.predict(X_test_sm)\n", "\n", "# Printing the first 15 predicted values\n", "y_test_pred" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'y_test' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Checking the R-squared value\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mr_squared\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mr2_score\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_test_pred\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[0mr_squared\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'y_test' is not defined" ] } ], "source": [ "# Importing r2_square\n", "from sklearn.metrics import r2_score\n", "\n", "# Checking the R-squared value\n", "r_squared = r2_score(y_test, y_test_pred)\n", "r_squared" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_test' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Visualize the line on the test set\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mscatter\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_test\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_test_pred\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'r'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'X_test' is not defined" ] } ], "source": [ "# Visualize the line on the test set\n", "plt.scatter(X_test, y_test)\n", "plt.plot(X_test, y_test_pred, 'r')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'y' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Splitting the data into train and test\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmodel_selection\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 3\u001b[1;33m X_train_lm, X_test_lm, y_train_lm, y_test_lm = train_test_split(X, y, train_size = 0.7, \n\u001b[0m\u001b[0;32m 4\u001b[0m test_size = 0.3, random_state = 100)\n", "\u001b[1;31mNameError\u001b[0m: name 'y' is not defined" ] } ], "source": [ "# Splitting the data into train and test\n", "from sklearn.model_selection import train_test_split\n", "X_train_lm, X_test_lm, y_train_lm, y_test_lm = train_test_split(X, y, train_size = 0.7, \n", " test_size = 0.3, random_state = 100)\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train_lm' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Shape of the train set without adding column\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mX_train_lm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Adding additional column to the train and test data\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mX_train_lm\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mX_train_lm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreshape\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m-\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'X_train_lm' is not defined" ] } ], "source": [ "# Shape of the train set without adding column\n", "X_train_lm.shape\n", "\n", "# Adding additional column to the train and test data\n", "X_train_lm = X_train_lm.values.reshape(-1,1)\n", "X_test_lm = X_test_lm.values.reshape(-1,1)\n", "\n", "print(X_train_lm.shape)\n", "print(X_test_lm.shape)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train_lm' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;31m# Fit the model using .fit() method\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m \u001b[0mlm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train_lm\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my_train_lm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mNameError\u001b[0m: name 'X_train_lm' is not defined" ] } ], "source": [ "from sklearn.linear_model import LinearRegression\n", "\n", "# Creating an object of Linear Regression\n", "lm = LinearRegression()\n", "\n", "# Fit the model using .fit() method\n", "lm.fit(X_train_lm, y_train_lm)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "ename": "AttributeError", "evalue": "'LinearRegression' object has no attribute 'intercept_'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Intercept value\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Intercept :\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mintercept_\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;31m# Slope value\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'Slope :'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mlm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcoef_\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mAttributeError\u001b[0m: 'LinearRegression' object has no attribute 'intercept_'" ] } ], "source": [ "# Intercept value\n", "print(\"Intercept :\",lm.intercept_)\n", "\n", "# Slope value\n", "print('Slope :',lm.coef_)" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "ename": "NameError", "evalue": "name 'X_train_lm' is not defined", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# Making Predictions of y_value\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0my_train_pred\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_train_lm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 3\u001b[0m \u001b[0my_test_pred\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mlm\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX_test_lm\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 5\u001b[0m \u001b[1;31m# Comparing the r2 value of both train and test data\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mNameError\u001b[0m: name 'X_train_lm' is not defined" ] } ], "source": [ "# Making Predictions of y_value\n", "y_train_pred = lm.predict(X_train_lm)\n", "y_test_pred = lm.predict(X_test_lm)\n", "\n", "# Comparing the r2 value of both train and test data\n", "print(r2_score(y_train,y_train_pred))\n", "print(r2_score(y_test,y_test_pred))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Example 3

" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "housing's shape : (506, 14)\n" ] }, { "data": { "text/html": [ "
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CIRMZNINDUSCHASNOXRMAGEDISRADTAXPTRATIOBLSTATMEDV
00.0063218.02.3100.5386.57565.24.09001296.015.3396.904.9824.0
10.027310.07.0700.4696.42178.94.96712242.017.8396.909.1421.6
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80.2112412.57.8700.5245.631100.06.08215311.015.2386.6329.9316.5
90.1700412.57.8700.5246.00485.96.59215311.015.2386.7117.1018.9
\n", "
" ], "text/plain": [ " CIRM ZN INDUS CHAS NOX RM AGE DIS RAD TAX \\\n", "0 0.00632 18.0 2.31 0 0.538 6.575 65.2 4.0900 1 296.0 \n", "1 0.02731 0.0 7.07 0 0.469 6.421 78.9 4.9671 2 242.0 \n", "2 0.02729 0.0 7.07 0 0.469 7.185 61.1 4.9671 2 242.0 \n", "3 0.03237 0.0 2.18 0 0.458 6.998 45.8 6.0622 3 222.0 \n", "4 0.06905 0.0 2.18 0 0.458 7.147 54.2 6.0622 3 222.0 \n", "5 0.02985 0.0 2.18 0 0.458 6.430 58.7 6.0622 3 222.0 \n", "6 0.08829 12.5 7.87 0 0.524 6.012 66.6 5.5605 5 311.0 \n", "7 0.14455 12.5 7.87 0 0.524 6.172 96.1 5.9505 5 311.0 \n", "8 0.21124 12.5 7.87 0 0.524 5.631 100.0 6.0821 5 311.0 \n", "9 0.17004 12.5 7.87 0 0.524 6.004 85.9 6.5921 5 311.0 \n", "\n", " PTRATIO B LSTAT MEDV \n", "0 15.3 396.90 4.98 24.0 \n", "1 17.8 396.90 9.14 21.6 \n", "2 17.8 392.83 4.03 34.7 \n", "3 18.7 394.63 2.94 33.4 \n", "4 18.7 396.90 5.33 36.2 \n", "5 18.7 394.12 5.21 28.7 \n", "6 15.2 395.60 12.43 22.9 \n", "7 15.2 396.90 19.15 27.1 \n", "8 15.2 386.63 29.93 16.5 \n", "9 15.2 386.71 17.10 18.9 " ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#loading the data\n", "boston = pd.read_csv('housing.data.txt' , sep=\",\")\n", "print(\"housing's shape : \", boston.shape)\n", "#print the first 10 rows of the data\n", "boston.head(10)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Data preprocessing

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> After loading the data, we can check if there are any missing values in the data. We count the number of missing values for each feature using isnull()." ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "CIRM 0\n", "ZN 0\n", "INDUS 0\n", "CHAS 0\n", "NOX 0\n", "RM 0\n", "AGE 0\n", "DIS 0\n", "RAD 0\n", "TAX 0\n", "PTRATIO 0\n", "B 0\n", "LSTAT 0\n", "MEDV 0\n", "dtype: int64" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "boston.isnull().sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Data Analysis

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Exploratory Data Analysis is a very important step before training the model. In this section, we will use some visualizations to understand the relationship of the target variable with other features." ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#plot the distribution of the target variable MEDV\n", "sns.set(rc={'figure.figsize':(11.7,8.27)})\n", "sns.distplot(boston['MEDV'], bins=30)\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Observations:

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ">> We see that the values of MEDV are distributed normally with few outliers." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Next, we create a correlation matrix that measures the linear relationships between the variables. The correlation matrix can be formed by using the corr function from the pandas dataframe library. We will use the heatmap function from the seaborn library to plot the correlation matrix." ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "correlation_matrix = boston.corr().round(2)\n", "#annot = True to print the values inside the square\n", "sns.heatmap(data=correlation_matrix, annot=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> The correlation coefficient ranges from -1 to 1. If the value is close to 1, it means that there is a strong positive correlation between the two variables. When it is close to -1, the variables have a strong negative correlation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Observations:

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ">> To fit a linear regression model, we select those features which have a high correlation with our target variable MEDV. By looking at the correlation matrix we can see that RM has a strong positive correlation with MEDV (0.7) where as LSTAT has a high negative correlation with MEDV(-0.74)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ">> An important point in selecting features for a linear regression model is to check for multi-co-linearity. The features RAD, TAX have a correlation of 0.91. These feature pairs are strongly correlated to each other. We should not select both these features together for training the model. Same goes for the features DIS and AGE which have a correlation of -0.75." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Based on the above observations we will RM and LSTAT as our features. Using a scatter plot let’s see how these features vary with MEDV." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(20, 5))\n", "\n", "features = ['LSTAT', 'RM']\n", "target = boston['MEDV']\n", "\n", "for i, col in enumerate(features):\n", " plt.subplot(1, len(features) , i+1)\n", " x = boston[col]\n", " y = target\n", " plt.scatter(x, y, marker='o')\n", " plt.title(col)\n", " plt.xlabel(col)\n", " plt.ylabel('MEDV')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Observations:

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ ">> The prices increase as the value of RM increases linearly. There are few outliers and the data seems to be capped at 50.\n", "The prices tend to decrease with an increase in LSTAT. Though it doesn’t look to be following exactly a linear line." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Preparing the data for training the model

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> We concatenate the LSTAT and RM columns using np.c_ provided by the numpy library." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "X = pd.DataFrame(np.c_[boston['LSTAT'], boston['RM']], columns = ['LSTAT','RM'])\n", "Y = boston['MEDV']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Splitting the data into training and testing sets

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> Next, we split the data into training and testing sets. We train the model with 70% of the samples and test with the remaining 30%. We do this to assess the model’s performance on unseen data. To split the data we use train_test_split function provided by scikit-learn library. We finally print the sizes of our training and test set to verify if the splitting has occurred properly." ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "(354, 2)\n", "(152, 2)\n", "(354,)\n", "(152,)\n" ] } ], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size = 0.3, random_state=5)\n", "print(X_train.shape)\n", "print(X_test.shape)\n", "print(Y_train.shape)\n", "print(Y_test.shape)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Training and testing the model

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> We use scikit-learn’s LinearRegression to train our model on both the training and test sets." ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "LinearRegression()" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import mean_squared_error\n", "\n", "lin_model = LinearRegression()\n", "lin_model.fit(X_train, Y_train)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "

Model evaluation

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "> We will evaluate our model using RMSE and R2-score." ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The model performance for training set\n", "--------------------------------------\n", "RMSE is 5.291267334085863\n", "R2 score is 0.6493177656003104\n", "\n", "\n", "The model performance for testing set\n", "--------------------------------------\n", "RMSE is 6.041044703455955\n", "R2 score is 0.6162026947666575\n" ] } ], "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import mean_squared_error, r2_score\n", "\n", "# model evaluation for training set\n", "y_train_predict = lin_model.predict(X_train)\n", "rmse = (np.sqrt(mean_squared_error(Y_train, y_train_predict)))\n", "r2 = r2_score(Y_train, y_train_predict)\n", "\n", "print(\"The model performance for training set\")\n", "print(\"--------------------------------------\")\n", "print('RMSE is {}'.format(rmse))\n", "print('R2 score is {}'.format(r2))\n", "print(\"\\n\")\n", "\n", "# model evaluation for testing set\n", "y_test_predict = lin_model.predict(X_test)\n", "rmse = (np.sqrt(mean_squared_error(Y_test, y_test_predict)))\n", "r2 = r2_score(Y_test, y_test_predict)\n", "\n", "print(\"The model performance for testing set\")\n", "print(\"--------------------------------------\")\n", "print('RMSE is {}'.format(rmse))\n", "print('R2 score is {}'.format(r2))" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.8.3" } }, "nbformat": 4, "nbformat_minor": 4 }