{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Decision Tree (Decision Tree Regressor).ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyOk893AMVDZ6ovL5Daqg6sN"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"KsWXoKQM-FFl"},"source":["# Import the libraries"]},{"cell_type":"code","metadata":{"id":"fQIi32V1sx8z","executionInfo":{"status":"ok","timestamp":1630073873929,"user_tz":-330,"elapsed":509,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","import re\n","from sklearn.tree import DecisionTreeRegressor"],"execution_count":1,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"uP5GQ2nO-XuC"},"source":["# Problem Statement\n","\n","In this data, we have one independent variable 'Temperature' and one dependent variable 'Revenue'. You have to build a DecisionTreeRegressor to study the relationship b/w the two variables of the Ice Cream Shop and then predict the revenue for the ice cream shop based on the temperature on a particular day."]},{"cell_type":"markdown","metadata":{"id":"MAhNT46x-atN"},"source":["# Import the dataset\n","\n","Link: https://raw.githubusercontent.com/mk-gurucharan/Regression/master/IceCreamData.csv"]},{"cell_type":"code","metadata":{"id":"9exV5WYPs534","executionInfo":{"status":"ok","timestamp":1630073919225,"user_tz":-330,"elapsed":552,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["df = pd.read_csv('https://raw.githubusercontent.com/mk-gurucharan/Regression/master/IceCreamData.csv')"],"execution_count":2,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":205},"id":"MfdmC_Pcs56R","executionInfo":{"status":"ok","timestamp":1630073931750,"user_tz":-330,"elapsed":567,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"11df554c-2796-44a7-aa79-9a0354277f7c"},"source":["df.head()"],"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/html":["

	Temperature	Revenue
0	24.566884	534.799028
1	26.005191	625.190122
2	27.790554	660.632289
3	20.595335	487.706960
4	11.503498	316.240194

\n","

"],"text/plain":[" Temperature Revenue\n","0 24.566884 534.799028\n","1 26.005191 625.190122\n","2 27.790554 660.632289\n","3 20.595335 487.706960\n","4 11.503498 316.240194"]},"metadata":{},"execution_count":3}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":205},"id":"G0NNrxHTs58x","executionInfo":{"status":"ok","timestamp":1630074240577,"user_tz":-330,"elapsed":578,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"22516f70-814a-44ad-f4f6-91156e67631e"},"source":["df.tail()"],"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/html":["

	Temperature	Revenue
495	22.274899	524.746364
496	32.893092	755.818399
497	12.588157	306.090719
498	22.362402	566.217304
499	28.957736	655.660388

\n","

"],"text/plain":[" Temperature Revenue\n","495 22.274899 524.746364\n","496 32.893092 755.818399\n","497 12.588157 306.090719\n","498 22.362402 566.217304\n","499 28.957736 655.660388"]},"metadata":{},"execution_count":4}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":298},"id":"Js5wD5xWs6Bs","executionInfo":{"status":"ok","timestamp":1630074265100,"user_tz":-330,"elapsed":566,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"fbc8f7bc-9880-4cf4-bdd5-c8e50875dc85"},"source":["df.describe()"],"execution_count":5,"outputs":[{"output_type":"execute_result","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"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n"," \n","

	Temperature	Revenue
count	500.000000	500.000000
mean	22.232225	521.570777
std	8.096388	175.404751
min	0.000000	10.000000
25%	17.122258	405.558681
50%	22.392791	529.368565
75%	27.740674	642.257922
max	45.000000	1000.000000

\n","

"],"text/plain":[" Temperature Revenue\n","count 500.000000 500.000000\n","mean 22.232225 521.570777\n","std 8.096388 175.404751\n","min 0.000000 10.000000\n","25% 17.122258 405.558681\n","50% 22.392791 529.368565\n","75% 27.740674 642.257922\n","max 45.000000 1000.000000"]},"metadata":{},"execution_count":5}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sg1sNuFys6EB","executionInfo":{"status":"ok","timestamp":1630074298040,"user_tz":-330,"elapsed":523,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"f5a80f7b-f62e-4dba-8185-551e569009aa"},"source":["df.info()"],"execution_count":6,"outputs":[{"output_type":"stream","text":["\n","RangeIndex: 500 entries, 0 to 499\n","Data columns (total 2 columns):\n"," # Column Non-Null Count Dtype \n","--- ------ -------------- ----- \n"," 0 Temperature 500 non-null float64\n"," 1 Revenue 500 non-null float64\n","dtypes: float64(2)\n","memory usage: 7.9 KB\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"O3yqIrmas6GN","executionInfo":{"status":"ok","timestamp":1630074309372,"user_tz":-330,"elapsed":527,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"2aa05ec8-06a9-455b-864c-aa8b6e313d2e"},"source":["df.isnull().sum()"],"execution_count":7,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Temperature 0\n","Revenue 0\n","dtype: int64"]},"metadata":{},"execution_count":7}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":312},"id":"HGIgRpOus6Ns","executionInfo":{"status":"ok","timestamp":1630074414224,"user_tz":-330,"elapsed":665,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"59d2d63f-e4ee-4959-8b9a-555d8dae453b"},"source":["plt.scatter(df.Temperature, df.Revenue)\n","plt.xlabel('Temperature')\n","plt.ylabel('Revenue')\n","plt.title('Temperature V/s Revenue')"],"execution_count":8,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0.5, 1.0, 'Temperature V/s Revenue')"]},"metadata":{},"execution_count":8},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYsAAAEWCAYAAACXGLsWAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3de5xddXnv8c83kwnMoDIBUoSBEFSEihEio+ChPdxUVG4ponipYmulPbVWKcaGHk4JPVhisYLW1hbFioJADHQM4jFSiFWpYBMnMUaghmsYEQJkIpJRJslz/lhrJ2v27Nvs2dfZ3/frNa/Ze6211/7tNcl69u/2/BQRmJmZlTKj2QUwM7PW52BhZmZlOViYmVlZDhZmZlaWg4WZmZXlYGFmZmU5WJiZWVkOFlY1Sb/K/OyUNJp5/u5ml68akh6W9PoGvdc70vdT3vaZkp6UdHpm20WS/naS5w9Jz6V/j2FJn5LUVavyW2dxsLCqRcQLcj/Ao8AZmW3XN7t8+STNbLH3GAT6gBPytr8JCOBbmW2nAd+sokhHpX+fE4BzgT+s4hxmDhZWe5JmSFos6QFJT0taJmmfdN+89BvvH0jaJGmLpD+R9BpJP5Y0IumzmXO9T9Jdkj4raauk+ySdktm/t6RrJD2efnu+LPftOfPaKyU9DSyR9FJJd6blekrS9ZL60uO/AswFbk2/jX9M0omSHsv7fLtqH5KWSFou6TpJvwTeV6pMWRHxa2AZ8N68Xe8FvhoR29P3mA28HPiBpP0kfSO9Ts9I+p6ksv+PI2IjcBdwdOZznC5pbXqu/5T0qnT7X0panveZPy3pMxVe8+9L+mT6t31I0psLXbvM9bsu8/y4tCwjktZJOrHcZ7PGcLCwevgQsJDk2+yBwBbgH/OOORY4jOTb7lXA/wZeDxwJvF3SCXnHPgDsB1wC3JILPsCXgO3Ay4AFwBuBP8p77YPA/sDHAQGXp+X6beBgYAlARLyH8TWkv6vw854FLCepJVxfQZmyrgXOkdQDyY0YOCPdnnMqcEdE7AAuBB4D5qSf6a9IaiElSToC+F1gY/p8AfBF4I+BfYF/AVZI2gO4EXiLpBemx3YBbwe+mp6u3Oc7Frif5O/1d8A1+U1tRcrYD9wGXAbsA3wUuFnSnHKvtQaICP/4Z8o/wMPA69PH9wKnZPYdAIwBM4F5JDe3/sz+p4FzM89vBj6SPn4f8HNAmf0/BN5DcrP8DdCT2fdOYFXmtY+WKfdCYKjQ50ifnwg8VuKzLgG+m9lXskxFyvAz4F3p4w8A6/L2fwV4T/r4b4CvAy+r4G8SwC+B59LHNwB7pPs+B/zfvOPvB05IH38feG/6+A3AA5V8vvSab8zs603f+8VFru8S4Lr08V8CX8kr00rgvGb/+/ZPUPc2XOtIhwD/JmlnZtsOkhtNzhOZx6MFnr8g83w40jtH6hGSmsEhQDfweOaL6wxgU+bY7GMk7Q98muRb9gvT47dU9KmKy75HJWXK92XSpieSIPjlTHlnkNys/yLddAXJDfbb6fmvjoilJc79apJa2duApcBeJDf7Q4DzJH0oc+wskutKWpZ3pmV5F7trFZV8vl/kHkTEtvS47N+zmEOAt0k6I7OtG1hVwWutztwMZfWwCXhzRPRlfvaMiOEqz9ef14wxl6S2sYnkxrdf5n1eFBFHZo7Nb6L523Tb/Ih4EfD7JE1TxY5/juTbMbCrSSa/WST7mkrKlO8rwCmSXgccR9KUlfMa4JGI2AwQEc9GxIUR8RLgTOAvsn04hURiGfAD4K8z5fx43t+oNyJuSPd/DThR0kHA77E7WFTz+bLGXU/gxZnHm0hqFtky7VUmGFqDOFhYPfwz8HFJhwBImiPprCmc77eAP5fULeltJH0N34yIx4FvA38v6UVpx/pL8/o78r0Q+BWwNW0jX5S3/wngJZnn/w3sKek0Sd3AxcAexU5eTZki4mGSZp8bgNsj4heZ3W8haccHdnVKvywNnltJamzZGlwpS4EPSHox8HngTyQdq8Re6Wd8YVqmzcB3gH8FHoqIe6v9fHnWAu9I/5YDwDmZfdcBZ0g6VVKXpD3TAQYHVXhuqyMHC6uHTwMrSJpKngXuJun0rNY9JJ3hT5F0Up8TEU+n+95L0nzyU5LmpOUkfSTFXErSNLOV5CZ8S97+y4GL09E4H42IrcCfAl8Ahkm+GT9GaZMtEyQd2oeQaYJK5Q+ZPQz4d5KA9wPgnyKiomaaiFgPfBdYFBGrSfpHPpuWcSNJf0PWV0kGHXw1b3s1ny/n/wAvTV93afbcEbGJZLDAXwGbSWoai/B9qiVofFOwWWuR9D7gjyLid5pdlkZL+1eGSAYD+D+qNZUjtlnr2hu40IHCWoFHQ5m1qIj4b5I+E7OmczOUmZmV5WYoMzMra1o2Q+23334xb968ZhfDzKytrFmz5qmIKJheZVoGi3nz5rF69epmF8PMrK1IeqTYPjdDmZlZWQ4WZmZWloOFmZmV5WBhZmZlOViYmVlZdQsWkr6oZNH5n2S27SPpdkk/S3/PTrdL0mckbVSytOarM685Lz3+Z5LOq1d5zcza2eDQMMcvvZNDF9/G8UvvZHCo2hUBCqtnzeJLJAvPZy0mWR7yMOCO9DnAm0myaR4GnE+yihfp0pmXkGQsfS1wSS7AmJlZYnBomItuWc/wyCgBDI+MctEt62saMOoWLCLiu8AzeZvPYvfawteSLGmZ2/7ldJGWu4E+SQeQrD18e0Q8ExFbgNuZGIDMzDraFSvvZ3Rsx7hto2M7uGLl/TV7j0b3WeyfLp4CydKLuWU2+xm/LONj6bZi2yeQdL6k1ZJWb968ubalNjNrYT8fGZ3U9mo0rYM7TbtcsyyGEXF1RAxExMCcOQVnq5uZTUsH9vVMans1Gh0snkibl0h/P5luHwYOzhx3ULqt2HYzM0stOvVwerq7xm3r6e5i0amH1+w9Gh0sVgC5EU3nAV/PbH9vOirqOGBr2ly1EnijpNlpx/Yb021mZm2pHqOWFi7o5/Kz59Pf14OA/r4eLj97PgsXFGy1r0rd1rOQdANwIrAf8ATJqKZBYBkwF3gEeHtEPJMuPv9Zks7rbcAfpGsEI+kPSdbkBfh4RPxrufceGBgIJxI0s1aTG7WU7YwW8O7j5nLZwvnNK1iuLNKaiBgouG86Ln7kYGFmrej4pXcyXKDTWcCV5x5d05pANUoFC8/gNjNrkGKjkwJqOsy1HhwszMwapNTopFoOc60HBwszswZZdOrhqMi+Wg5zrQcHCzOzBlm4oJ93Hzd3QsCo9TDXepiWy6qamdXb4NAwV6y8n5+PjHJgXw+LTj28og7qyxbOZ+CQfap6bTM5WJiZTVL+ENhc4j6gopv+wgX9LR8c8rkZysxskool7rtw2bq6pQhvNtcszMwmqdjIpR3pvLXJ1jSqbdJqJNcszMyKKJaao5KRS6NjO7j01g0VvUe916KoBQcLM7MCSt3ECyXuK2TLtrGyN/1GrEVRCw4WZmYFlLuJ7zFz9+1zRrHJE5Sfmd2ItShqwcHCzKyAYjfr4ZFRFn1tHSOjY7s3lkixV+6m34i1KGrBwcLMrIBiN2sBYzvHR4edVZwnpxFrUdSCg4WZdZxK1pRYdOrhdOe1L3XPUMnlPau56TdiLYpa8NBZM+sok5pQl98XUaJvAuDys+dXNQS2HSbpOViYWUcp1XGdvWFfsfJ+xnaMr0eM7QhmCHYWqF7M7u1ui5t+tdwMZWYdpdLRR8WO2xnQ3TWxihFBy82NqCUHCzPrKH293QW353dEF+uY7u/r4YpzjmJ23nlGRsdacjJdrThYmFnHGBwa5le/3j5he3eXJnRElxqltHBBP72zJrbit+Jkulpxn4WZdYwrVt4/YdgrwF6zZk7oa8g9L9Zh3S6T6WrFwcLMOkaxG/nWdILd4NAwS1Zs2DXhbnZvN5eccWTBTusD+3oYLnC+VptMVytuhjKzjlFqtvTg0PCEmdlbto1x4dfWFZ2H0Q6T6WrFwcLMOsZJR8wpur1YE9WOnVEwe2y7TKarFTdDmVlHGBwa5oZ7NhXct+q+zSX7GrZsGyu4fTrPq8jnmoWZTXu5Wdu5xYny5TqwrTgHCzOb9grN2s7KjXQqpq+n8NyMTuJmKDNre4WWJYXdw17LJf/LDYld/cgzXHf3o+P2d88QS848so6lbw8OFmbW1golBly0fB3ExFTi+bqkcZ3SA4fsw20/fnxXH0VfTzdLziw8dLbTOFiYWVMUqg1Uc1Mu1MSUnwCwEAF///ajdr1nftAB+M32UitVdBYHCzNruEmlCc97XTbAnHTEnIIT4yoRee9VaTbaTuUObjNruHLrWxeSCzDDaR/E8MjohP6FyejPG/3Uaek7JqspwULSBZI2SPqJpBsk7SnpUEn3SNoo6SZJs9Jj90ifb0z3z2tGmc2sdqq5MZcb0TQZhWZat8ta2M3S8GAhqR/4c2AgIl4JdAHvAD4BXBkRLwO2AO9PX/J+YEu6/cr0ODNrY5XcmPOXPq22uQmSHE99Pd0lZ1p3WvqOyWpWn8VMoEfSGNALPA6cDLwr3X8tsAT4HHBW+hhgOfBZSYooMrvGzFreolMPZ9HX1o0brdQ9Y3ea8EJ9GoKSQ2CL6e/r4a7FJ5c9rlyW2U7X8GAREcOSPgk8CowC3wbWACMRkUs0/xiQ+wv1A5vS126XtBXYF3gqe15J5wPnA8ydO7feH8PMpqrE+taFmpwiPWQyAWOyNYNOSt8xWc1ohppNUls4FDgQ2At401TPGxFXR8RARAzMmVM4WZiZtYZi61tfuGwdhy6+rWiT02RrFtM5sV+jNaOD+/XAQxGxOSLGgFuA44E+SbmazkFALifwMHAwQLp/b+DpxhbZzGoh1w9RLBjsiCgZEPr7eiaMYiqmr6fbgaKGmhEsHgWOk9QrScApwE+BVcA56THnAV9PH69In5Puv9P9FWbtJzv0tVrbnt/OSUfMmdCClc8pOmqvGX0W90haDvwI2A4MAVcDtwE3Sros3XZN+pJrgK9I2gg8QzJyyszaTC2Gvm7ZNsbNa4bL1j7cMV17TRkNFRGXAJfkbX4QeG2BY38NvK0R5TKz+qnV5LbRsR10SQXTjVc68skmzzO4zawhajm5rVCg8JyI+nKwMLOGKDTprVb6ero98qnOnEjQzGqqWDbZYutF1MJee8x0oKgzBwszq5lia0ssWbGBraOF17GuRJfEzhLDap3sr/7cDGVmNVNsbYmR0TGC6tJ1AOyM4KGlpxWdY+Fkf/XnYGFmNVOvb/i5YOBkf83jZigzA2qzct2BfT1TmnRXSDYYONlf8zhYmFnJleug8pvzolMPn7A0aaVm93bTO2smwyOju+ZRFJpg52R/zeFgYWZFV6679NYN/Hps54QgsvqRZ1h13+aCI54APnLT2km9f093F5eccaSDQAtzn4WZFe1r2LJtrGAQuf7uR8ctb3rRLesZHEpyfy5c0F9Rsr/ZvaUXI7LW4pqFmU26ryF/VNPo2A4uWLaWS2/dwMi2Mfp6u8ueY2TbWNWjo6zxXLMws6KjjPp6yt/0cyKSmkiQ/C57fPo7v2ZircnBwsxYuKCfy8+eT39fz7imodOPOqBsOvBaGB3bwRUr72/AO1m13AxlZsDEYalLVmzguee3N6ypyLOwW5trFmYGjF+cKICR0bEJS5/W0wzJTVEtzMHCzIDaLE40FTsi3HfRwtwMZTaNTGUWdis0A+X6LjyMtvW4ZmE2TeQ3I012lFGrJONrhaBlE7lmYTZNFJuFXeqberYm0tfbzQzBziZPfmiVoGXjOViYTRPFvpH/fGR0QlCISDqwsyqZGzFZYnJpyZ1BtnW5Gcpsmti7yAS6mTPggpvW7mqe2rJtbEKgqIfZvd1cee7RPFxiHYrZvd0T5na4v6I1uWZhNg0MDg2z9deFA8DYzvq/f7YG0SXxzmMP5rKF83ftL5SN1skD24trFmZtLtexHU3sa8i+9Y4Ibl4zPK5jvdgMcQeK9uGahVmba/b8iEIKdax7HYr25pqFWZtr1aGmrVouq46DhVmba9Whpq1aLquOm6HM2lRuOGyt17yuBQ+BnX4cLMzaUP6a2c02O527sXV0bNJpRqw9OFiYtaFW6dTu6e7yqKYO4WBh1kZarenJgaJzOFiYtZj8zLHz9u3h7ge3sKOZEymKcKDoHE0ZDSWpT9JySfdJulfS6yTtI+l2ST9Lf89Oj5Wkz0jaKOnHkl7djDKbNUKhzLF3PfBM0wLF7N7uoutwF0vhYdNTs4bOfhr4VkQcARwF3AssBu6IiMOAO9LnAG8GDkt/zgc+1/jimjVGq/RF5PTOmsmSM4+kp7tr3HaPduo8DQ8WkvYG/idwDUBEPB8RI8BZwLXpYdcCC9PHZwFfjsTdQJ+kAxpcbLOGaMZEtlI1hJ+PjDpVhwHN6bM4FNgM/Kuko4A1wIeB/SPi8fSYXwD7p4/7gU2Z1z+Wbns8sw1J55PUPJg7d27dCm9WS/n9Ez3dM9jWiMx/qd8/bi6XLZzP8UvvLNhpnptY51QdVlHNQtL+kq6R9P/S56+Q9P4q33Mm8GrgcxGxAHiO3U1OAEREMLk0+ETE1RExEBEDc+bMqbJoZo1TqH+ikYEC2JUZdtGph7upyUqqtBnqS8BK4MD0+X8DH6nyPR8DHouIe9Lny0mCxxO55qX095Pp/mHg4MzrD0q3mbW1ZvdPZJuf3NRk5VTaDLVfRCyTdBFARGyXVNW/8oj4haRNkg6PiPuBU4Cfpj/nAUvT319PX7IC+DNJNwLHAlszzVVmLS2/mSk7s7mZifYEE2oNbmqyUioNFs9J2pe0aUjSccDWKbzvh4DrJc0CHgT+gKSWsyxt3noEeHt67DeBtwAbgW3psWYtLz8lx/DIKB+5aS2X3rqBS844kgP7epo2uS7wHAmbHEUF47fTuQ3/ALwS+AkwBzgnIn5c3+JVZ2BgIFavXt3sYliHK9ZpDEl/wFuP6efmNcNNaYrqktgZ4TxONo6kNRExUGhfRX0WEfEj4ATgfwB/DBzZqoHCrFWUamYaHdvBqvs289ZjmnOT3hGxq1P9olvWj1vVzqyQipqhJL03b9OrJRERX65Dmcymhb7ebrZsK7wuNiQ36uvufrQhZdlrVhfbnt/BDGnCbPBCq9qZ5at0NNRrMj+/CywBzqxTmcza2uDQMAv+5tslA0Wj9fXO4qGlp7GzSLOzV7WzciqqWUTEh7LPJfUBN9alRGYtqNSopvzjWmmdiZxcMCjWqe5V7aycatN9PEcyE9ts2is0ea5QO//g0DAXLlvXlEDx8NLTeHjpaUWT/uWCgSffWbUqncF9q6QV6c83gPuBf6tv0cxaQ6HJc7l2/pxcQGlGdtjs5LpySf88+c6qVek8i09mHm8HHomIx+pQHrOWU6w9P7t9yYoNTalR5NcKcjf9Uk1mnnxn1ai0z+I/6l0Qs1ZVrp3/4sH1jIw2pzO7UK3AwcDqodKhs2cDnwB+iyRTgEjy/b2ojmUza6hindiLTj18Qqe1SPoujr70200LFOBZ2NY4lTZD/R1wRkTcW8/CmDVLodQcF92yHhjftDM8Mpp8U0pf18xA4ZXqrJEqDRZPOFDYdFasE/uCZWv5yE1rAejr6WZ2mYl2jdLdJY9gsoaqNFislnQTMAj8JrcxIm6pS6nMpqjSeRE5xTqxs4ObmlmLyOrtnsHfnv0qN0FZQ1UaLF5EkvH1jZltAThYWMuppEkpXzMzwBbT39fDSUfMYdV9mysOemb1UuloKKcFt7ZRal5EsRttoU7sZrtr8cnNLoLZLpVOynu5pDsk/SR9/ipJF9e3aGbVqWReRL7sZDUzm6jSdB+fBy4CxgDS9OTvqFehzKaiWJ6jSvIfbXt+e62LU5XZvYXTdpg1S6V9Fr0R8UNJ2W2t8b/KLE+hJqXsTOdCnd9fW/0odz3wTMPL2tfTPaHjvLtLXHLGkQ0vi1kplQaLpyS9lN3Lqp4DeB1sa0mlUl4UW+q0GWb3djP012+c9Mgts2aodFnVlwBXk6yUtwV4CHh3RDxS3+JVx8uqWjGlljptpO4uccU5RzkoWEsptaxqpTWLRyLi9ZL2AmZExLO1K55Z4zRrkZ/e7hnM3msP1x6sbVUaLB6S9C3gJuDOOpbHrK7qOZ+iv6+HLc/9hm1jOyfsmzWzy0Nhra1VGiyOAE4HPghck65pcWNEfL9uJTObgvx+gNzktnoFilwH+gVF+j+2tsjsb7NqVTR0NiK2RcSyiDgbWEAyo9tpy60lFVrZ7rq7H61boBDw1mOStOBTGbZr1soqXlZV0gmS/glYA+wJvL1upTKbgkIzuOspgFX3bQa8bKlNX5WuZ/EwMAQsAxZFxHP1LJTZVDRjtFOu47ySlerM2lGlfRaviohf1rUkZjXSJTV8LexsM5NXqrPpqNJmqBc7N5S1i0YHCgEnHTGnoe9p1mjODWXTyuDQMCp/WE0FcPOaYQaHhhv8zmaNU2mw6I2IH+Ztc24oaymDQ8NcuGwdja1XJHIp0M2mK+eGsrZTKJcSwEW3rG94E1RWs2aHmzVCpcHigyS5oY6QNEyaG6pupTIrolAiwEXL17F9RzSlRpHluRQ2nVU6Ke/BiHg9MIdkNvcJwO9M5Y0ldUkaSmeDI+lQSfdI2ijpJkmz0u17pM83pvvnTeV9rb1deuuGCXMoxlogUACeS2HTWslgIelFki6S9FlJbyBZh/s8YCNTn5T3YeDezPNPAFdGxMtIMtu+P93+fmBLuv3K9DjrQINDw2zZ1pppM/p6uj1c1qa1cjWLrwCHA+uBDwCrgLcBvxcRZ1X7ppIOAk4DvpA+F3AysDw95FpgYfr4rPQ56f5TlLcKk3WGVu1A7unuYsmZXqzIprdyfRYviYj5AJK+QNKpPTcifj3F970K+BjwwvT5vsBIRORGWD0G5L6m9QObACJiu6St6fFPZU8o6XzgfIC5c+dOsXjWCvI7spu1DsXs3m56Z82ckJTQM7Stk5QLFrvq/BGxQ9JjUw0Ukk4HnoyINZJOnMq5siLiapJOeAYGBlqhCdum4OLB9Vx/96O7+iKGR0YR1LRvoqd7BvvstUfJINTT3cUlZxzpYGAdr1wz1FGSfpn+PAu8KvdYUrXpP44HzkzzTd1I0vz0aaBPUi54HQTkZjgNAwcDpPv3Bp6u8r2tDQwODY8LFDm1/gawZ3eyxsRV5x49IfkfJDWKy8+e70BhRpmaRURM/B80RRFxEclscNKaxUcj4t2SvgacQxJAzgO+nr5kRfr8B+n+O6OStWCtLTVyYt1I2lnu5H9m5VU6z6IR/hK4UdJlJBlur0m3XwN8RdJG4BmcZmTays2haNTEOif/M6tcU4NFRHwH+E76+EHgtQWO+TXJCCybxnI1ikYFCq8xYTY5rVSzsA5VzxpFT3cXl589H3Azk9lUOFhY09VrZbv+vKDg4GBWPQcLa7h6zp/oknjnsQdz2cL5NTunmTlYWINcPLieG+7ZNKGpqRbzJ7okHrj8LVMqn5mV5mBhNTc4NMzHlq/j+R2VhYCAKQWMZqYlN+sUDhZWU4NDw1xw09pJ3/incrvvd2pws7pzsLApye9/2Pb89oamC/cQWLPGcLCwsgqtTLdwQX/BhYgaIddklT/ayczqx8HCSioUEC66ZT1Q2yGvMwQ7K6yS5ALFXYtPrsl7m1l5Fa2UZ52rUEAYHdvBFSvvr2lNotJAkeP1rs0ay8HCSip2U27W2hI5Xu/arLEcLKyket2Uu6aw2KE7tc0az8HCSlp06uEF13qYitm93eyc5NyIGWls6e/r8RoTZk3gDm4Dio94yl/roRbDYrdsG6N/kmk+dsbuGoUDhVnjuWZhu0Y8DafBYHhklEXL13H0pd/m0MW3ccXK+1l06uE8tPS0mkyA65I46Yg5Bfcd/9J9ir5HrmPdzBrPwcIKjnga2xGMjI7tCh4X3LSWeYtvY9vz26f8fjsiWHXf5oL7Hn56lLsWn0yxHg2PgjJrDgcLq6g5KNf8tCVdinQq+vt6it70c9uLdax7FJRZczhY2JRGJlVj3r49zCjynrlgUKhj3aOgzJrHHdwdKtuh3eicrf/5wDMF3zMbDPI71r26nVlzOVh0oPwUHo1WKFB0SROGxGZHY5lZc7kZqgPVaxnTqdgZ4cBg1sJcs+gAtV7G9PiX7sOGnz/LyGjhzu5qFjJyx7VZa3OwaFHFJslVc578rLHFbuaV3OSvOvfoceU4fumdE4JPNn34pbdu2DWCqq+nm9OPOoCb1wyPq9m449qs9TlYtKBSacEnGzAKNTkVCwhB0ndQbJlSFXj/UkNgi/U5DByyjzuuzdqMg0ULKpUWfLI31clOYiu1nnWhpqJizVqlmpXccW3WftzB3YLKTVibjFr1BRRrKvJ8CLPO4JpFC6rm23pOfl/HSUfMmdBHMFkC3npM4dqA50OYdQbFJFNFt4OBgYFYvXp1s4tRtULzIHq6u8qm5r54cD3X3/3ouD6Jnu4u3npMP6vu28zPR0aZUaJPohyveW02vUlaExEDhfa5GaoFLVzQz+Vnz6e/rwdR2RoOg0PDXJcXKCDp67jhnk27ssa+89iDqy5XrqN9cGi46nOYWXtyM1SLmmwn8KW3bii6b0fErtFUxbK9VqrajnYza2+uWUwT5bLB5m7ytUjx7TThZp2n4cFC0sGSVkn6qaQNkj6cbt9H0u2Sfpb+np1ul6TPSNoo6ceSXt3oMreywaFhjl96Z0XHDqcd0JUotciRZ1ubdZ5m1Cy2AxdGxCuA44APSnoFsBi4IyIOA+5InwO8GTgs/Tkf+Fzji9yaLh5czwU3ra04fYeAk46YU3ZN7f6+Hu5afDJXnXu0h8WaGdCEYBERj0fEj9LHzwL3Av3AWcC16WHXAgvTx2cBX47E3UCfpAMaXOyGyNUSDl18G8cvvbNkR/K7P/+Dgh3apQRJn0Wu8xyYsCJdfprwyXa0m9n01NQObknzgAXAPcD+EfF4uusXwP7p435gU+Zlj6XbHs9sQ9L5JDUP5s6dW7cy10u5FB/Z+RM93TPYNrazqvfJT8NRLgeVZ1ubGTQxWEh6AXAz8JGI+KUyK6dFREia1GSAiLgauJMRg7oAAAkrSURBVBqSeRa1LGsjlErxAYwLJNUGCpjY3+BgYGaVaMpoKEndJIHi+oi4Jd38RK55Kf39ZLp9GMhODjgo3TatlErxUav1J9zfYGbVasZoKAHXAPdGxKcyu1YA56WPzwO+ntn+3nRU1HHA1kxz1bRRbITRgX09NRmq6v4GM5uKZtQsjgfeA5wsaW368xZgKfAGST8DXp8+B/gm8CCwEfg88KdNKHPdlUrIt3dPd0XnOOy39ip4jqvOPZq7Fp/sQGFmVWt4n0VEfJ+Jg3ByTilwfAAfrGuhWkCphHylZmdDsgbFO489mMsWzq/ZoklmZllOJNgGDl18W9EhspUkGDQzq4QTCba5UjOmsyOmzMzqxYkEW1iuSanUutngXE1mVn8OFi0qf5JeqcZC52oys3pzM1SLKja3olR6DjOzenHNoknKjVoq1rQUJHMmPNrJzBrJwaIJyuWBguLrcOcywpqZNZKboZqgWB6oJSt2z6coNUnPzKzRHCyaoFgT08jo2K605E4PbmatxM1QTVCsiQkYt761M8KaWatwzaIJSjUlec6EmbUiB4smWLign9m9hZMDes6EmbUiB4smueSMI92BbWZtw30WTVIqy6yZWatxsGgid2CbWbtwM5SZmZXlYGFmZmW5GaqBvIqdmbUrB4sGqSQflJlZq3IzVIMUywflVe7MrB24ZlGBWjQfFZuZ7RnbZtYOXLMoI9d8NDwySrC7+SiX8K9SxWZme8a2mbUDB4syatV85JTjZtbO3AxVRq2ajzxj28zamYNFnvz+ib17uhkZHZtwXDXNR56xbWbtysEio9Dw1u4u0T1DjO2MXce5+cjMOo37LDIK9U+M7QhesOdMr1hnZh3NNYuMosudbhtj6K/f2ODSmJm1DtcsMjy81cysMAeLjJOOmIPytrl/wszMwWKXwaFhbl4zTGS2CXjrMR7BZGbWNsFC0psk3S9po6TFtT5/oc7tAFbdt7nWb2Vm1nbaIlhI6gL+EXgz8ArgnZJeUcv3cO4mM7Pi2iJYAK8FNkbEgxHxPHAjcFYt38Cd22ZmxbVLsOgHNmWeP5Zu20XS+ZJWS1q9efPkm46cu8nMrLh2CRZlRcTVETEQEQNz5syZ9OsXLujn8rPne/KdmVkB7TIpbxg4OPP8oHRbTTl3k5lZYe1Ss/gv4DBJh0qaBbwDWNHkMpmZdYy2qFlExHZJfwasBLqAL0bEhiYXy8ysY7RFsACIiG8C32x2OczMOlG7NEOZmVkTOViYmVlZiojyR7UZSZuBR6Zwiv2Ap2pUnHbnazGer8duvhbjTYfrcUhEFJx7MC2DxVRJWh0RA80uRyvwtRjP12M3X4vxpvv1cDOUmZmV5WBhZmZlOVgUdnWzC9BCfC3G8/XYzddivGl9PdxnYWZmZblmYWZmZTlYmJlZWQ4WGfVeurXVSfqipCcl/SSzbR9Jt0v6Wfp7djPL2CiSDpa0StJPJW2Q9OF0e6dejz0l/VDSuvR6XJpuP1TSPen/mZvSRJ8dQVKXpCFJ30ifT+tr4WCRasTSrW3gS8Cb8rYtBu6IiMOAO9LnnWA7cGFEvAI4Dvhg+u+hU6/Hb4CTI+Io4GjgTZKOAz4BXBkRLwO2AO9vYhkb7cPAvZnn0/paOFjsVvelW1tdRHwXeCZv81nAtenja4GFDS1Uk0TE4xHxo/TxsyQ3hX4693pERPwqfdqd/gRwMrA83d4x10PSQcBpwBfS52KaXwsHi93KLt3aofaPiMfTx78A9m9mYZpB0jxgAXAPHXw90maXtcCTwO3AA8BIRGxPD+mk/zNXAR8DdqbP92WaXwsHC6tYJOOsO2qstaQXADcDH4mIX2b3ddr1iIgdEXE0yUqVrwWOaHKRmkLS6cCTEbGm2WVppLZZz6IBGrJ0axt6QtIBEfG4pANIvlV2BEndJIHi+oi4Jd3csdcjJyJGJK0CXgf0SZqZfqPulP8zxwNnSnoLsCfwIuDTTPNr4ZrFbl66tbAVwHnp4/OArzexLA2TtkFfA9wbEZ/K7OrU6zFHUl/6uAd4A0k/zirgnPSwjrgeEXFRRBwUEfNI7hN3RsS7mebXwjO4M9JvClexe+nWjze5SA0l6QbgRJJUy08AlwCDwDJgLkna97dHRH4n+LQj6XeA7wHr2d0u/Vck/RadeD1eRdJp20XyJXNZRPyNpJeQDAbZBxgCfj8iftO8kjaWpBOBj0bE6dP9WjhYmJlZWW6GMjOzshwszMysLAcLMzMry8HCzMzKcrAwM7OyPCnPOo6kfUmSAAK8GNgBbE6fvzbNDdYS0qGZz0fEfza7LNbZHCys40TE0ySZU5G0BPhVRHyyWeXJzPot5ETgV0DFwaLM+cyq4mYoM0DSMZL+Q9IaSSvTVB5I+o6kKyWtlnSvpNdIuiVdz+Ky9Jh5ku6TdH16zHJJvRWc9ypJq4EPSzojXQthSNK/S9o/TWD4J8AFktZK+l1JX5J0Tqbcv0p/nyjpe5JWAD9Nk/5dIem/JP1Y0h838nra9ONgYQYC/gE4JyKOAb4IZGfvPx8RA8A/k6Rw+CDwSuB9aZMWwOHAP0XEbwO/BP40zS1V6ryzImIgIv4e+D5wXEQsIJkF/LGIeDh9zysj4uiI+F6Zz/Fq4MMR8XKStRS2RsRrgNcAH5B06OQvjVnCzVBmsAfJzf/2JCUUXcDjmf25HGHrgQ25FOWSHiRJPjkCbIqIu9LjrgP+HPhWmfPelHl8EHBTWvOYBTxUxef4YUTkXvdG4FWZWsjewGFVntfMwcKMpGaxISJeV2R/Lr/Pzszj3PPc/6H8vDlRwXmfyzz+B+BTEbEi7dReUuQ120lbBCTNIAkshc4n4EMRsbLIecwmxc1QZkkAmCPpdZCkJpd05CTPMTf3euBdJM1K90/ivHuzO6X1eZntzwIvzDx/GDgmfXwmyYp1hawE/lfaFIakl0vaq/KPYzaeg4VZUkM4B/iEpHXAWuB/TPIc95Os030vMBv4XDoEt9LzLgG+JmkN8FRm+63A7+U6uIHPAyek53sd42sTWV8Afgr8SNJPgH/BLQk2Bc46azZF6ailb0TEK5tcFLO6cc3CzMzKcs3CzMzKcs3CzMzKcrAwM7OyHCzMzKwsBwszMyvLwcLMzMr6/8MwXvosm3WVAAAAAElFTkSuQmCC\n","text/plain":["

"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":286},"id":"ApfSmTwJs6P4","executionInfo":{"status":"ok","timestamp":1630074546664,"user_tz":-330,"elapsed":655,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"f3549672-a0cc-41e4-fde7-fa15815aca92"},"source":["sns.heatmap(df.corr(), annot=True, cmap='Greens')"],"execution_count":10,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":10},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["

"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":609},"id":"h__Ksa4os6Si","executionInfo":{"status":"ok","timestamp":1630074720097,"user_tz":-330,"elapsed":679,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"94a59370-0429-4b25-9e23-cc747178fc57"},"source":["plt.figure(figsize=(10,10))\n","df.boxplot()"],"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":14},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["

"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"ib6ZUyrsCYoq"},"source":["# Spliting of data - Training & Testing set"]},{"cell_type":"code","metadata":{"id":"wCOkW4yvs6U-","executionInfo":{"status":"ok","timestamp":1630074995950,"user_tz":-330,"elapsed":529,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["X = np.array(df.Temperature.values)\n","y = np.array(df.Revenue.values)"],"execution_count":15,"outputs":[]},{"cell_type":"code","metadata":{"id":"kLExpGxbCrPZ","executionInfo":{"status":"ok","timestamp":1630075028030,"user_tz":-330,"elapsed":651,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["from sklearn.model_selection import train_test_split"],"execution_count":16,"outputs":[]},{"cell_type":"code","metadata":{"id":"39_auJt6CvWT","executionInfo":{"status":"ok","timestamp":1630075091894,"user_tz":-330,"elapsed":542,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["X_train, X_test, y_train, y_test = train_test_split(X,y, test_size = 0.2)"],"execution_count":18,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"WkHWDp_lDAHz","executionInfo":{"status":"ok","timestamp":1630075125450,"user_tz":-330,"elapsed":579,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"a78094bc-d760-4e59-e266-64f64c1dfaa1"},"source":["len(X_test)"],"execution_count":23,"outputs":[{"output_type":"execute_result","data":{"text/plain":["100"]},"metadata":{},"execution_count":23}]},{"cell_type":"markdown","metadata":{"id":"iQY4IKg_Co35"},"source":["# Choosing the model"]},{"cell_type":"code","metadata":{"id":"gng7GCiYs6Yj","executionInfo":{"status":"ok","timestamp":1630075155192,"user_tz":-330,"elapsed":523,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["regressor = DecisionTreeRegressor()"],"execution_count":24,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"Sw7a1oSiDPm3"},"source":["# Training the model"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"S-Kq-14ds6a5","executionInfo":{"status":"ok","timestamp":1630075214247,"user_tz":-330,"elapsed":629,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"b66d244d-3a9f-4504-ff38-e2702b0160d6"},"source":["regressor.fit(X_train.reshape(-1,1), y_train.reshape(-1,1))"],"execution_count":26,"outputs":[{"output_type":"execute_result","data":{"text/plain":["DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', max_depth=None,\n"," max_features=None, max_leaf_nodes=None,\n"," min_impurity_decrease=0.0, min_impurity_split=None,\n"," min_samples_leaf=1, min_samples_split=2,\n"," min_weight_fraction_leaf=0.0, presort='deprecated',\n"," random_state=None, splitter='best')"]},"metadata":{},"execution_count":26}]},{"cell_type":"markdown","metadata":{"id":"RtZeyeGnDvES"},"source":["# Testing the model"]},{"cell_type":"code","metadata":{"id":"Z_Mzsylls6dR","executionInfo":{"status":"ok","timestamp":1630075341153,"user_tz":-330,"elapsed":580,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["y_pred = regressor.predict(X_test.reshape(-1,1))"],"execution_count":27,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"Iv618VJrD_HV"},"source":["# Comparing the y_test with y_pred"]},{"cell_type":"code","metadata":{"id":"IsXThzOJs6f8","executionInfo":{"status":"ok","timestamp":1630075423796,"user_tz":-330,"elapsed":560,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["comp = pd.DataFrame({\"Actual Values\":y_test.reshape(-1),\n"," \"Predicted Values\":y_pred.reshape(-1)})"],"execution_count":28,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":421},"id":"04P54pNFs6iB","executionInfo":{"status":"ok","timestamp":1630075428373,"user_tz":-330,"elapsed":562,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"7c900e7b-d39c-48ed-e322-9794d0b5c242"},"source":["comp"],"execution_count":29,"outputs":[{"output_type":"execute_result","data":{"text/html":["

	Actual Values	Predicted Values
0	436.951311	430.343903
1	450.708589	454.189267
2	545.903929	537.664801
3	284.772789	321.848273
4	451.450784	417.354839
...	...	...
95	704.281439	690.789296
96	444.826802	476.794525
97	684.158444	746.946389
98	335.156856	319.402903
99	531.742485	534.799028

\n","

100 rows × 2 columns

\n","

"],"text/plain":[" Actual Values Predicted Values\n","0 436.951311 430.343903\n","1 450.708589 454.189267\n","2 545.903929 537.664801\n","3 284.772789 321.848273\n","4 451.450784 417.354839\n",".. ... ...\n","95 704.281439 690.789296\n","96 444.826802 476.794525\n","97 684.158444 746.946389\n","98 335.156856 319.402903\n","99 531.742485 534.799028\n","\n","[100 rows x 2 columns]"]},"metadata":{},"execution_count":29}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":297},"id":"VIMpjl7As6kq","executionInfo":{"status":"ok","timestamp":1630075602788,"user_tz":-330,"elapsed":587,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"50320b94-5a36-4250-8158-34cebf8ae88e"},"source":["plt.scatter(X_test,y_test, color = 'red')\n","plt.scatter(X_test,y_pred, color = 'green')\n","plt.xlabel('X_test')\n","plt.ylabel('y_test/y_pred')"],"execution_count":31,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0, 0.5, 'y_test/y_pred')"]},"metadata":{},"execution_count":31},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["

"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":294},"id":"iTbVTJXms6nR","executionInfo":{"status":"ok","timestamp":1630075781358,"user_tz":-330,"elapsed":2131,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"ec4370d5-1197-4070-85f4-f0b9665be6a3"},"source":["sns.heatmap(comp.corr(), annot=True, cmap='Greens')"],"execution_count":33,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":33},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["

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Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"d43eeadd-c7cf-4358-c46d-804993833ea4"},"source":["plt.figure(figsize=(10,10))\n","comp.boxplot()"],"execution_count":34,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{},"execution_count":34},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["

"]},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","metadata":{"id":"J51_vxhBGAF0"},"source":["# Performance"]},{"cell_type":"code","metadata":{"id":"Jqw2ctRks6sj","executionInfo":{"status":"ok","timestamp":1630075916370,"user_tz":-330,"elapsed":677,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}}},"source":["from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error"],"execution_count":35,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7V3SFMSvs6vK","executionInfo":{"status":"ok","timestamp":1630075936388,"user_tz":-330,"elapsed":567,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"649ab635-a189-46c7-ecdd-cb37e9329a64"},"source":["r2_score(y_test,y_pred)"],"execution_count":36,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0.9674361744547726"]},"metadata":{},"execution_count":36}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"haeilGwvs6x0","executionInfo":{"status":"ok","timestamp":1630075957657,"user_tz":-330,"elapsed":553,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"e0ef5126-c3cb-4239-e752-3e1ccf3b3783"},"source":["mean_squared_error(y_test,y_pred)"],"execution_count":37,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1078.7269446505143"]},"metadata":{},"execution_count":37}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"_cyIbUmfs60b","executionInfo":{"status":"ok","timestamp":1630075980523,"user_tz":-330,"elapsed":699,"user":{"displayName":"Sahil Rahman","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GiJ8lzvw0EAvZyy3OveF6J53a3ecWuQmgHRsF6n6D4=s64","userId":"17212050139887820689"}},"outputId":"1667a5fc-7a8f-4ee5-c1c4-5627fc4a7b8c"},"source":["mean_absolute_error(y_test,y_pred)"],"execution_count":38,"outputs":[{"output_type":"execute_result","data":{"text/plain":["25.181967644200004"]},"metadata":{},"execution_count":38}]},{"cell_type":"code","metadata":{"id":"gtX7zm4-s65G"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"rQlNYbUqs6_P"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"oysIpUFDs7CJ"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"Zz-xO08Ss7FS"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"KavOuhMKs7Ho"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"DLuQlOpPs7NY"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"UGOFLbtQs7QZ"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"V76tuw2As7TE"},"source":[""],"execution_count":null,"outputs":[]},{"cell_type":"code","metadata":{"id":"5rqNraq3s7VL"},"source":[""],"execution_count":null,"outputs":[]}]}

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Day45_Decision Tree (Decision Tree Regressor).ipynb

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