From 67faa92109cb5203980fb07e9d4c592bd2529722 Mon Sep 17 00:00:00 2001 From: Carlos Martinez Date: Mon, 8 Mar 2021 19:37:24 +0100 Subject: [PATCH] committing lab --- your-code/lab_boston_housing.ipynb | 589 ++++++++++++++++++++++++++++- your-code/lab_overfitting.ipynb | 280 +++++++++++++- 2 files changed, 837 insertions(+), 32 deletions(-) diff --git a/your-code/lab_boston_housing.ipynb b/your-code/lab_boston_housing.ipynb index 4a25b49..f637fdd 100644 --- a/your-code/lab_boston_housing.ipynb +++ b/your-code/lab_boston_housing.ipynb @@ -35,28 +35,298 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.impute import SimpleImputer\n", + "from sklearn.preprocessing import FunctionTransformer\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import OneHotEncoder\n", + "from sklearn.preprocessing import OrdinalEncoder\n", + "from sklearn.compose import ColumnTransformer\n", + "from sklearn.pipeline import Pipeline\n", + "from sklearn.feature_selection import SelectKBest, SelectFromModel, RFE\n", + "from sklearn.tree import DecisionTreeRegressor\n", + "from sklearn.preprocessing import StandardScaler\n", + "from sklearn.decomposition import PCA\n", + "from sklearn.neighbors import KNeighborsClassifier\n", + "from sklearn.model_selection import RandomizedSearchCV\n", + "from sklearn.metrics import accuracy_score\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "# Your code here" + "# Your code here\n", + "boston = pd.read_csv(\"../data/boston_data.csv\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### Next, we want to explore the data. Pick several varibables you think will be ost correlated with the prices of homes in Boston, and create plots that show the data dispersion as well as the regression line of best fit.\n", + "### Next, we want to explore the data. Pick several varibables you think will be most correlated with the prices of homes in Boston, and create plots that show the data dispersion as well as the regression line of best fit.\n", "**Hint:** Use the Seaborn *pairplot* function ([documentation](https://seaborn.pydata.org/generated/seaborn.pairplot.html))" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 404 entries, 0 to 403\n", + "Data columns (total 14 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 crim 404 non-null float64\n", + " 1 zn 404 non-null float64\n", + " 2 indus 404 non-null float64\n", + " 3 chas 404 non-null float64\n", + " 4 nox 404 non-null float64\n", + " 5 rm 404 non-null float64\n", + " 6 age 404 non-null float64\n", + " 7 dis 404 non-null float64\n", + " 8 rad 404 non-null float64\n", + " 9 tax 404 non-null float64\n", + " 10 ptratio 404 non-null float64\n", + " 11 black 404 non-null float64\n", + " 12 lstat 404 non-null float64\n", + " 13 medv 404 non-null float64\n", + "dtypes: float64(14)\n", + "memory usage: 44.3 KB\n" + ] + } + ], + "source": [ + "boston.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# Your plots here\n", + "\n", + "sns.pairplot(boston, y_vars=boston.columns, x_vars=\"medv\", kind = \"scatter\")\n", + "\n", + "sns.heatmap(boston.corr())" ] }, { @@ -72,7 +342,7 @@ "metadata": {}, "outputs": [], "source": [ - "# Your response here" + "# Your response here\n" ] }, { @@ -84,11 +354,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# Your response here" + "# Your response here\n", + "\n", + "sns.heatmap(boston.corr())" ] }, { @@ -102,11 +397,229 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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crimzninduschasnoxrmagedisradtaxptratioblacklstatmedv
count404.000000404.000000404.000000404.000000404.000000404.00000404.000000404.000000404.000000404.000000404.000000404.000000404.000000404.000000
mean3.73091210.50990111.1899010.0693070.5567106.3014568.6017333.7996669.836634411.68811918.444554355.06824312.59893622.312376
std8.94392222.0537336.8149090.2542900.1173210.6758328.0661432.1099168.834741171.0735532.15029594.4895726.9251738.837019
min0.0063200.0000000.4600000.0000000.3920003.561002.9000001.1691001.000000187.00000012.6000000.3200001.7300005.000000
25%0.0823820.0000005.1900000.0000000.4530005.9027545.8000002.0878754.000000281.00000017.375000374.7100007.13500017.100000
50%0.2537150.0000009.7950000.0000000.5380006.2305076.6000003.2074505.000000330.00000019.000000391.06500011.26500021.400000
75%4.05315812.50000018.1000000.0000000.6310006.6292594.1500005.22212524.000000666.00000020.200000396.00750016.91000025.000000
max88.97620095.00000027.7400001.0000000.8710008.78000100.00000012.12650024.000000711.00000022.000000396.90000034.37000050.000000
\n", + "
" + ], + "text/plain": [ + " crim zn indus chas nox rm \\\n", + "count 404.000000 404.000000 404.000000 404.000000 404.000000 404.00000 \n", + "mean 3.730912 10.509901 11.189901 0.069307 0.556710 6.30145 \n", + "std 8.943922 22.053733 6.814909 0.254290 0.117321 0.67583 \n", + "min 0.006320 0.000000 0.460000 0.000000 0.392000 3.56100 \n", + "25% 0.082382 0.000000 5.190000 0.000000 0.453000 5.90275 \n", + "50% 0.253715 0.000000 9.795000 0.000000 0.538000 6.23050 \n", + "75% 4.053158 12.500000 18.100000 0.000000 0.631000 6.62925 \n", + "max 88.976200 95.000000 27.740000 1.000000 0.871000 8.78000 \n", + "\n", + " age dis rad tax ptratio black \\\n", + "count 404.000000 404.000000 404.000000 404.000000 404.000000 404.000000 \n", + "mean 68.601733 3.799666 9.836634 411.688119 18.444554 355.068243 \n", + "std 28.066143 2.109916 8.834741 171.073553 2.150295 94.489572 \n", + "min 2.900000 1.169100 1.000000 187.000000 12.600000 0.320000 \n", + "25% 45.800000 2.087875 4.000000 281.000000 17.375000 374.710000 \n", + "50% 76.600000 3.207450 5.000000 330.000000 19.000000 391.065000 \n", + "75% 94.150000 5.222125 24.000000 666.000000 20.200000 396.007500 \n", + "max 100.000000 12.126500 24.000000 711.000000 22.000000 396.900000 \n", + "\n", + " lstat medv \n", + "count 404.000000 404.000000 \n", + "mean 12.598936 22.312376 \n", + "std 6.925173 8.837019 \n", + "min 1.730000 5.000000 \n", + "25% 7.135000 17.100000 \n", + "50% 11.265000 21.400000 \n", + "75% 16.910000 25.000000 \n", + "max 34.370000 50.000000 " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here" + "# Your code here\n", + "boston.describe()" ] }, { @@ -154,7 +667,9 @@ "metadata": {}, "outputs": [], "source": [ - "# Your code here" + "# Your code here\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=)" ] }, { @@ -292,7 +807,49 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false } }, "nbformat": 4, diff --git a/your-code/lab_overfitting.ipynb b/your-code/lab_overfitting.ipynb index 9739877..21b3833 100644 --- a/your-code/lab_overfitting.ipynb +++ b/your-code/lab_overfitting.ipynb @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -56,11 +56,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[SVC(gamma=0.7)]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here\n" + "# Your code here\n", + "from sklearn.svm import SVC\n", + "\n", + "gamma_params= [0.001, 1, 20, 0.7]\n", + "\n", + "gamma1 = SVC(gamma= gamma_params[0])\n", + "gamma2 = SVC(gamma= gamma_params[1])\n", + "gamma3 = SVC(gamma= gamma_params[2])\n", + "gamma7 = SVC(gamma= gamma_params[3])\n", + "\n", + "classifiers = [gamma7]\n", + "\n", + "classifiers" ] }, { @@ -72,9 +95,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "from matplotlib.colors import ListedColormap\n", "\n", @@ -86,7 +120,8 @@ "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n", " np.arange(y_min, y_max, h))\n", "cm = plt.cm.RdBu\n", - "cm_bright = ListedColormap(['#FF0000', '#0000FF'])\nnames = ['gamma = 0.001', 'gamma = 1', 'gamma = 20']\n", + "cm_bright = ListedColormap(['#FF0000', '#0000FF'])\n", + "names = ['gamma = 0.001', 'gamma = 1', 'gamma = 20']\n", "\n", "# iterate over classifiers\n", "for name, clf in zip(names, classifiers):\n", @@ -133,7 +168,10 @@ "metadata": {}, "outputs": [], "source": [ - "# Your response here" + "# Your response here\n", + "'''We see underfitting in the first plot, '''\n", + "''' We see overfitting in the third plot beacuse of the sudden changes of directions'''\n", + "''' and the second plot is best for classification'''" ] }, { @@ -146,11 +184,86 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Your code here\n", + "\n", + "from matplotlib.colors import ListedColormap\n", + "\n", + "figure = plt.figure(figsize=(12, 6))\n", + "i = 1\n", + "h = .02 # step size in the mesh\n", + "x_min, x_max = X[:, 0].min() - .5, X[:, 0].max() + .5\n", + "y_min, y_max = X[:, 1].min() - .5, X[:, 1].max() + .5\n", + "xx, yy = np.meshgrid(np.arange(x_min, x_max, h),\n", + " np.arange(y_min, y_max, h))\n", + "cm = plt.cm.RdBu\n", + "cm_bright = ListedColormap(['#FF0000', '#0000FF'])\n", + "names = ['gamma = 0.7']\n", + "\n", + "# iterate over classifiers\n", + "for name, clf in zip(names, classifiers):\n", + " ax = plt.subplot(1, len(classifiers), i)\n", + " clf.fit(X, y)\n", + "\n", + " # Plot the decision boundary. For that, we will assign a color to each\n", + " # point in the mesh [x_min, x_max]x[y_min, y_max].\n", + " if hasattr(clf, \"decision_function\"):\n", + " Z = clf.decision_function(np.c_[xx.ravel(), yy.ravel()])\n", + " else:\n", + " Z = clf.predict_proba(np.c_[xx.ravel(), yy.ravel()])[:, 1]\n", + "\n", + " # Put the result into a color plot\n", + " Z = Z.reshape(xx.shape)\n", + " ax.contourf(xx, yy, Z, cmap=cm, alpha=.8)\n", + "\n", + " ax.scatter(X[:, 0], X[:, 1], c=y, cmap=cm_bright)\n", + "\n", + " ax.set_xlim(xx.min(), xx.max())\n", + " ax.set_ylim(yy.min(), yy.max())\n", + " ax.set_xticks(())\n", + " ax.set_yticks(())\n", + " ax.set_title(name)\n", + " i += 1\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0.93" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here" + "from sklearn.metrics import accuracy_score\n", + "\n", + "gamma7.fit(X, y)\n", + "gamma7.score(X, y)" ] }, { @@ -162,11 +275,49 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SVC(gamma=20)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Your code here\n", + "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=0.2, random_state=10)\n", + "\n", + "gamma3.fit(X_train, y_train)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0.85" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here" + "accuracy_score(predicitions, y_test)" ] }, { @@ -176,13 +327,68 @@ "### Try with some of the other gammas to see how the accuracy score changes after implementing a test/train split. " ] }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0]\n", + "[0, 1]\n", + "[0, 1, 2]\n", + "[0, 1, 2, 3]\n", + "[0, 1, 2, 3, 4]\n" + ] + } + ], + "source": [ + "gamma_parameters =[1, 0.5, 0.8, 14, 20]\n", + "list2 = []\n", + "\n", + "for i in range(0, len(gamma_parameters)):\n", + " list2.append(i)\n", + " print(list2)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# Your code here" + "for i in list2:\n", + " print(f\" SVC_{i}:=SVC(gamma=gamma_params[{i}]\")\n", + "#classifiers(SVC_6, )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "gamma0.1\n", + "gamma0.7\n", + "gamma2\n", + "gamma5\n", + "gamma10\n" + ] + } + ], + "source": [ + "# Your code here\n", + "\n", + "gamma_parameters = [0.]\n", + "\n", + "for i in list1:\n", + " print(f\"gamma{i}\")\n", + " " ] }, { @@ -218,7 +424,49 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.8.3" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": true, + "sideBar": true, + "skip_h1_title": false, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": false + }, + "varInspector": { + "cols": { + "lenName": 16, + "lenType": 16, + "lenVar": 40 + }, + "kernels_config": { + "python": { + "delete_cmd_postfix": "", + "delete_cmd_prefix": "del ", + "library": "var_list.py", + "varRefreshCmd": "print(var_dic_list())" + }, + "r": { + "delete_cmd_postfix": ") ", + "delete_cmd_prefix": "rm(", + "library": "var_list.r", + "varRefreshCmd": "cat(var_dic_list()) " + } + }, + "types_to_exclude": [ + "module", + "function", + "builtin_function_or_method", + "instance", + "_Feature" + ], + "window_display": false } }, "nbformat": 4,