diff --git a/your-code/lab_boston_housing.ipynb b/your-code/lab_boston_housing.ipynb index 3176602..f6b186a 100644 --- a/your-code/lab_boston_housing.ipynb +++ b/your-code/lab_boston_housing.ipynb @@ -35,13 +35,87 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CRIM 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\n", + " CRIM ZN INDUS CHAS NOX RM \\\n", + "count 506.000000 506.000000 506.000000 506.000000 506.000000 506.000000 \n", + "mean 3.613524 11.363636 11.136779 0.069170 0.554695 6.284634 \n", + "std 8.601545 23.322453 6.860353 0.253994 0.115878 0.702617 \n", + "min 0.006320 0.000000 0.460000 0.000000 0.385000 3.561000 \n", + "25% 0.082045 0.000000 5.190000 0.000000 0.449000 5.885500 \n", + "50% 0.256510 0.000000 9.690000 0.000000 0.538000 6.208500 \n", + "75% 3.677083 12.500000 18.100000 0.000000 0.624000 6.623500 \n", + "max 88.976200 100.000000 27.740000 1.000000 0.871000 8.780000 \n", + "\n", + " AGE DIS RAD TAX PTRATIO B \\\n", + "count 506.000000 506.000000 506.000000 506.000000 506.000000 506.000000 \n", + "mean 68.574901 3.795043 9.549407 408.237154 18.455534 356.674032 \n", + "std 28.148861 2.105710 8.707259 168.537116 2.164946 91.294864 \n", + "min 2.900000 1.129600 1.000000 187.000000 12.600000 0.320000 \n", + "25% 45.025000 2.100175 4.000000 279.000000 17.400000 375.377500 \n", + "50% 77.500000 3.207450 5.000000 330.000000 19.050000 391.440000 \n", + "75% 94.075000 5.188425 24.000000 666.000000 20.200000 396.225000 \n", + "max 100.000000 12.126500 24.000000 711.000000 22.000000 396.900000 \n", + "\n", + " LSTAT MEDV \n", + "count 506.000000 506.000000 \n", + "mean 12.653063 22.532806 \n", + "std 7.141062 9.197104 \n", + "min 1.730000 5.000000 \n", + "25% 6.950000 17.025000 \n", + "50% 11.360000 21.200000 \n", + "75% 16.955000 25.000000 \n", + "max 37.970000 50.000000 \n" + ] + } + ], "source": [ - "# Your code here" + "# Your code here\n", + "import pandas as pd\n", + "import numpy as np\n", + "from sklearn.datasets import load_boston\n", + "\n", + "\n", + "boston = load_boston()\n", + "df = pd.DataFrame(boston.data, columns=boston.feature_names)\n", + "df['MEDV'] = boston.target\n", + "print(df.isnull().sum())\n", + "print(df.describe())\n", + "\n", + "\n", + "Q1 = df.quantile(0.25)\n", + "Q3 = df.quantile(0.75)\n", + "IQR = Q3 - Q1\n", + "df = df[~((df < (Q1 - 1.5 * IQR)) | (df > (Q3 + 1.5 * IQR))).any(axis=1)]\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -51,13 +125,55 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Your plots here" + "# Your plots here\n", + "\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.linear_model import LinearRegression\n", + "\n", + "vars_to_plot = ['RM', 'LSTAT', 'PTRATIO']\n", + "\n", + "\n", + "for var in vars_to_plot:\n", + " \n", + " plt.scatter(df[var], df['MEDV'], alpha=0.5)\n", + " \n", + "\n", + " model = LinearRegression()\n", + " model.fit(df[[var]], df['MEDV'])\n", + " \n", + " \n", + " plt.plot\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -71,7 +187,8 @@ "metadata": {}, "outputs": [], "source": [ - "# Your response here" + "# Your response here\n", + "#There is a strong positive relationship between the average number of rooms per dwelling and the median value of owner-occupied homes. " ] }, { @@ -83,13 +200,53 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Your response here" + "# Your response here\n", + "\n", + "import seaborn as sns\n", + "corr_matrix = df.corr()\n", + "\n", + "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm')\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -100,13 +257,244 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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CRIMZNINDUSCHASNOXRMAGEDISRADTAXPTRATIOBLSTATMEDV
count268.000000268.000000268.000000268.0268.000000268.000000268.000000268.000000268.000000268.000000268.000000268.000000268.000000268.000000
mean1.0222453.94216410.6648880.00.5340826.16710866.0388064.0117247.011194362.23134318.802612389.07981311.97324621.397761
std1.9610448.6872106.3463000.00.0971270.42721626.7234861.7692636.749384140.3493991.75072811.1326385.4089034.714913
min0.0063200.0000001.3800000.00.4090004.9030002.9000001.3459001.000000188.00000014.700000344.9100002.9400008.500000
25%0.0864200.0000005.8600000.00.4530005.89050045.7750002.5080754.000000277.00000017.800000386.7400007.85750018.650000
50%0.1715650.0000008.5600000.00.5200006.12700070.3000003.6715005.000000307.00000019.100000393.52000011.04500021.100000
75%0.5962130.00000018.1000000.00.5810006.42225090.3250005.2873006.000000403.00000020.200000396.90000014.72750023.725000
max8.71675030.00000027.7400000.00.8710007.416000100.0000009.22290024.000000711.00000021.200000396.90000030.81000036.200000
\n", + "
" + ], + "text/plain": [ + " CRIM ZN INDUS CHAS NOX RM \\\n", + "count 268.000000 268.000000 268.000000 268.0 268.000000 268.000000 \n", + "mean 1.022245 3.942164 10.664888 0.0 0.534082 6.167108 \n", + "std 1.961044 8.687210 6.346300 0.0 0.097127 0.427216 \n", + "min 0.006320 0.000000 1.380000 0.0 0.409000 4.903000 \n", + "25% 0.086420 0.000000 5.860000 0.0 0.453000 5.890500 \n", + "50% 0.171565 0.000000 8.560000 0.0 0.520000 6.127000 \n", + "75% 0.596213 0.000000 18.100000 0.0 0.581000 6.422250 \n", + "max 8.716750 30.000000 27.740000 0.0 0.871000 7.416000 \n", + "\n", + " AGE DIS RAD TAX PTRATIO B \\\n", + "count 268.000000 268.000000 268.000000 268.000000 268.000000 268.000000 \n", + "mean 66.038806 4.011724 7.011194 362.231343 18.802612 389.079813 \n", + "std 26.723486 1.769263 6.749384 140.349399 1.750728 11.132638 \n", + "min 2.900000 1.345900 1.000000 188.000000 14.700000 344.910000 \n", + "25% 45.775000 2.508075 4.000000 277.000000 17.800000 386.740000 \n", + "50% 70.300000 3.671500 5.000000 307.000000 19.100000 393.520000 \n", + "75% 90.325000 5.287300 6.000000 403.000000 20.200000 396.900000 \n", + "max 100.000000 9.222900 24.000000 711.000000 21.200000 396.900000 \n", + "\n", + " LSTAT MEDV \n", + "count 268.000000 268.000000 \n", + "mean 11.973246 21.397761 \n", + "std 5.408903 4.714913 \n", + "min 2.940000 8.500000 \n", + "25% 7.857500 18.650000 \n", + "50% 11.045000 21.100000 \n", + "75% 14.727500 23.725000 \n", + "max 30.810000 36.200000 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here" + "# Your code here\n", + "stats = df.describe()\n", + "stats" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -126,18 +514,58 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import r2_score\n", "\n", "def performance_metric(y_true, y_predict):\n", - " \"\"\" Calculates and returns the performance score between \n", - " true and predicted values based on the metric chosen. \"\"\"\n", - " # Your code here:" + " \"\"\"Calculates and returns the performance score between \n", + " true and predicted values based on the metric chosen.\"\"\"\n", + " \n", + " score = r2_score(y_true, y_predict)\n", + " return score\n", + "\n", + "\n", + "\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -148,13 +576,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ - "# Your code here" + "# Your code here\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -175,13 +614,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ - "# Five separate RFR here with the given max depths" + "\n", + "from sklearn.ensemble import RandomForestRegressor\n", + "from sklearn.metrics import mean_squared_error\n", + "\n", + "max_depths = [2, 4, 6, 8, 10]\n", + "train_scores = []\n", + "test_scores = []\n", + "\n", + "for depth in max_depths:\n", + "\n", + " model = RandomForestRegressor(max_depth=depth, random_state=1)\n", + " model.fit(X_train, y_train)\n", + " \n", + " y_train_pred = model.predict(X_train)\n", + " y_test_pred = model.predict(X_test)\n", + "\n", + " train_error = mean_squared_error(y_train, y_train_pred)\n", + " test_error = mean_squared_error(y_test, y_test_pred)\n", + " \n", + " train_scores.append(train_error)\n", + " test_scores.append(test_error)\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -191,20 +657,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": { "scrolled": false }, - "outputs": [], - "source": [ - "# Produce a plot with the score for the testing and training for the different max depths" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "What do these results tell you about the effect of the depth of the trees on the performance of the model?" + "# Produce a plot with the score for the testing and training for the different max depths\n", + "import matplotlib.pyplot as plt\n", + "plt.plot(train_scores, label='Training score')\n", + "plt.plot(test_scores, label='Testing score')\n", + "plt.xlabel('Tree number')\n", + "plt.ylabel('Accuracy')\n", + "plt.legend()\n", + "plt.show()\n" ] }, { @@ -212,9 +689,7 @@ "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "# Your response here" - ] + "source": [] }, { "cell_type": "markdown", @@ -230,7 +705,8 @@ "metadata": {}, "outputs": [], "source": [ - "# Your response here" + "# Your response here\n", + "#When a model is trained with a maximum depth of 1, it typically suffers from high bias and low variance.On the other hand, when a model is trained with a maximum depth of 10, it may suffer from high variance and low bias" ] }, { @@ -243,13 +719,41 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 27, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "Unknown label type: 'continuous'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_16568\\4170746277.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;32mfrom\u001b[0m \u001b[0msklearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mensemble\u001b[0m \u001b[1;32mimport\u001b[0m \u001b[0mRandomForestClassifier\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mrf\u001b[0m \u001b[1;33m=\u001b[0m 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"\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\ensemble\\_forest.py\u001b[0m in \u001b[0;36mfit\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m 365\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mn_outputs_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mshape\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[0;32m 366\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 367\u001b[1;33m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexpanded_class_weight\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_validate_y_class_weight\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\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 368\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 369\u001b[0m \u001b[1;32mif\u001b[0m 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734\u001b[1;33m \u001b[0mcheck_classification_targets\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\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 735\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 736\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;32m~\\anaconda3\\lib\\site-packages\\sklearn\\utils\\multiclass.py\u001b[0m in \u001b[0;36mcheck_classification_targets\u001b[1;34m(y)\u001b[0m\n\u001b[0;32m 195\u001b[0m \u001b[1;34m\"multilabel-sequences\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 196\u001b[0m ]:\n\u001b[1;32m--> 197\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"Unknown label type: %r\"\u001b[0m \u001b[1;33m%\u001b[0m \u001b[0my_type\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 198\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 199\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", + "\u001b[1;31mValueError\u001b[0m: Unknown label type: 'continuous'" + ] + } + ], "source": [ - "# Your response here" + "# Your response here\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "rf = RandomForestClassifier(n_estimators=100, max_depth=6)\n", + "rf.fit(X_train, y_train)\n", + "\n", + "print(rf.score(X_train, y_train))\n", + "print(rf.score(X_test, y_test))\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -269,14 +773,23 @@ "metadata": {}, "outputs": [], "source": [ - "# Your response here" + "# Your response here\n", + "#The constructed model should not be used in a real-world setting without further investigation and consideration of various factors.\n", + "\n", + "The data used to train the model was collected in 1978, which may not be relevant to today.\n", + "\n", + "The features present in the data, such as the number of rooms, neighborhood, and student-teacher ratio, may not be sufficient to describe a home in the dataset\n", + "While the model achieved high accuracy on the training and testing sets, it may not be robust enough to make consistent predictions in a real-world setting due to factors such as data quality, missing features, and changes in the housing market over time.\n", + "\n", + "Finally, data collected in an urban city like Boston may not be applicable in a rural city, as the factors that affect housing prices may be very different in different regions.\n", + "\n" ] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -290,7 +803,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.2" + "version": "3.9.13" } }, "nbformat": 4, diff --git a/your-code/lab_overfitting.ipynb b/your-code/lab_overfitting.ipynb index 3776411..97b36c5 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": [ @@ -55,13 +55,28 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "# Your code here\n" + "# Your code here\n", + "from sklearn.svm import SVC\n", + "gamma_values = [0.001, 1, 20]\n", + "\n", + "svm_classifiers = []\n", + "for gamma in gamma_values:\n", + " svm = SVC(kernel='rbf', gamma=gamma)\n", + " svm_classifiers.append(svm)\n", + "\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -71,9 +86,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'classifiers' 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~\\AppData\\Local\\Temp\\ipykernel_4004\\2435835255.py\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[0;32m 14\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 15\u001b[0m \u001b[1;31m# iterate over classifiers\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 16\u001b[1;33m \u001b[1;32mfor\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mclf\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnames\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mclassifiers\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[0m\u001b[0;32m 17\u001b[0m \u001b[0max\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mplt\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msubplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mclassifiers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 18\u001b[0m \u001b[0mclf\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mX\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\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 'classifiers' is not defined" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "from matplotlib.colors import ListedColormap\n", "\n", @@ -146,13 +182,45 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], "source": [ - "# Your code here" + "# Your code here\n", + "from sklearn.svm import SVC\n", + "from sklearn.datasets import make_classification\n", + "\n", + "\n", + "X, y = make_classification(n_features=2, n_redundant=0, n_informative=2,\n", + " random_state=42, n_clusters_per_class=1)\n", + "\n", + "\n", + "clf = SVC(kernel='rbf', gamma=0.7)\n", + "\n", + "\n", + "clf.fit(X, y)\n", + "\n", + "\n", + "accuracy = clf.score(X, y)\n", + "\n", + "print(accuracy)\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -162,13 +230,41 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.0\n" + ] + } + ], "source": [ - "# Your code here" + "# Your code here\n", + "\n", + "from sklearn.model_selection import train_test_split\n", + "X, y = make_classification(n_features=2, n_redundant=0, n_informative=2,\n", + " random_state=1, n_clusters_per_class=1)\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1)\n", + "\n", + "clf = SVC(kernel='rbf', gamma=20)\n", + "\n", + "clf.fit(X_train, y_train)\n", + "\n", + "accuracy = clf.score(X_test, y_test)\n", + "\n", + "print(accuracy)\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -178,13 +274,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.4666666666666667\n", + "1.0\n", + "1.0\n" + ] + } + ], "source": [ - "# Your code here" + "# Your code here\n", + "X, y = make_classification(n_features=2, n_redundant=0, n_informative=2,\n", + " random_state=1, n_clusters_per_class=1)\n", + "\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1)\n", + "classifiers = [\n", + " SVC(kernel='rbf', gamma=0.001),\n", + " SVC(kernel='rbf', gamma=1),\n", + " SVC(kernel='rbf', gamma=20)\n", + "]\n", + "for clf in classifiers:\n", + " clf.fit(X_train, y_train)\n", + " accuracy = clf.score(X_test, y_test)\n", + " print(accuracy)\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "markdown", "metadata": {}, @@ -198,13 +325,14 @@ "metadata": {}, "outputs": [], "source": [ - "# Your response here" + "# Your response here\n", + "#Ensemble method ou cross validations for example" ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -218,7 +346,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.9.13" } }, "nbformat": 4,