{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "582ba562-7b31-4c83-b514-a5cf2dfd17a6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'1.7.2'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import sklearn \n", "sklearn.__version__" ] }, { "cell_type": "code", "execution_count": 2, "id": "5a659a9e-5fab-4331-be88-902fb7178f3d", "metadata": {}, "outputs": [], "source": [ "from sklearn.datasets import fetch_openml" ] }, { "cell_type": "code", "execution_count": 3, "id": "0ab73def-be7f-4e9c-8921-900b4207480c", "metadata": {}, "outputs": [], "source": [ "mnist_dataset = fetch_openml(\"mnist_784\",as_frame=False)" ] }, { "cell_type": "code", "execution_count": 4, "id": "8119b419-db41-4244-be39-4413cc99d7bb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(70000, 784)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mnist_dataset.data.shape" ] }, { "cell_type": "code", "execution_count": 5, "id": "e7308822-a3a7-4a74-a2c1-161df10cc5e7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(70000,)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mnist_dataset.target.shape" ] }, { "cell_type": "code", "execution_count": 6, "id": "60fd793d-944b-47ae-a744-1a8663652ec2", "metadata": {}, "outputs": [], "source": [ "X,y=mnist_dataset.data,mnist_dataset.target" ] }, { "cell_type": "code", "execution_count": 7, "id": "65dcd884-d874-4c13-9f2a-e20aee7872a3", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 8, "id": "0d2c0457-7479-47f1-aaba-f348957a6a79", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0, 0, 0, ..., 0, 0, 0],\n", " [0, 0, 0, ..., 0, 0, 0],\n", " [0, 0, 0, ..., 0, 0, 0],\n", " ...,\n", " [0, 0, 0, ..., 0, 0, 0],\n", " [0, 0, 0, ..., 0, 0, 0],\n", " [0, 0, 0, ..., 0, 0, 0]], shape=(70000, 784))" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "X" ] }, { "cell_type": "code", "execution_count": 9, "id": "24189808-e5f6-4d17-8b55-45170dc6cbfb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(X[0].reshape(28,28),cmap=\"binary\")" ] }, { "cell_type": "code", "execution_count": 10, "id": "e07be064-20a5-4ba4-9a20-d7fa58e27d4a", "metadata": {}, "outputs": [], "source": [ " X_train ,X_test,y_train, y_test = X[:60000],X[60000:],y[:60000],y[60000:]" ] }, { "cell_type": "code", "execution_count": 11, "id": "68cb596e-79c5-411d-b558-2af754b8788d", "metadata": {}, "outputs": [], "source": [ "from sklearn.linear_model import SGDClassifier" ] }, { "cell_type": "code", "execution_count": 12, "id": "8b112e3e-62ce-4250-ad71-c82de1f63ed3", "metadata": {}, "outputs": [], "source": [ "y_train8 = (y_train==\"8\")\n", "y_test8=(y_test==\"8\")\n" ] }, { "cell_type": "code", "execution_count": 13, "id": "d8c77ff5-04c6-4246-9b5e-62ce646352d9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
SGDClassifier()
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" ], "text/plain": [ "SGDClassifier()" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sgd=SGDClassifier()\n", "sgd.fit(X_train,y_train8)" ] }, { "cell_type": "code", "execution_count": 14, "id": "091c016d-5a98-42c4-81b6-3b37e0f39c27", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([False, False, False, ..., False, False, True], shape=(60000,))" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_train8" ] }, { "cell_type": "code", "execution_count": 15, "id": "67178688-6cc1-4fcb-a1e2-b4f04d73b966", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([False, False, True])" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sgd.predict(X_train[-3:])" ] }, { "cell_type": "code", "execution_count": 16, "id": "ed327992-0cf7-40f0-90da-22fc01b70232", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.9427333333333333" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sgd.score(X_train,y_train8)" ] }, { "cell_type": "code", "execution_count": 17, "id": "d45ffc97-d267-49bc-a5b3-ed175677c789", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import cross_val_score" ] }, { "cell_type": "code", "execution_count": 18, "id": "b55e7d94-183a-427a-a245-8e7faf723d35", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.89041667, 0.9345 , 0.91475 , 0.91 , 0.92958333])" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cross_val_score(sgd,X_train,y_train8,cv = 5,scoring=\"accuracy\" )" ] }, { "cell_type": "code", "execution_count": 19, "id": "94189627-aba3-4977-910a-8c51bea0c354", "metadata": {}, "outputs": [], "source": [ "from sklearn.dummy import DummyClassifier" ] }, { "cell_type": "code", "execution_count": 20, "id": "76988397-4ba7-4a46-b9aa-a285d5ff7527", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
DummyClassifier()
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" ], "text/plain": [ "DummyClassifier()" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dummy_c =DummyClassifier()\n", "dummy_c.fit(X_train,y_train8)" ] }, { "cell_type": "code", "execution_count": 21, "id": "e8de5ba6-194a-455e-b598-937c0f5470fd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "np.int64(0)" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dummy_c.predict(X_train).sum()" ] }, { "cell_type": "code", "execution_count": 22, "id": "bad2d126-5d2c-4d5b-8d8e-0a7140fbc00e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.9025 , 0.9025 , 0.9025 , 0.9025 , 0.90241667])" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cross_val_score(dummy_c,X_train,y_train8,cv = 5,scoring=\"accuracy\" )" ] }, { "cell_type": "code", "execution_count": 23, "id": "5751b85f-f667-48b6-8a3b-876dcf3910f5", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import StratifiedKFold\n", "from sklearn.base import clone" ] }, { "cell_type": "code", "execution_count": 24, "id": "1ba25334-7cf3-42f9-ad01-796ef742711e", "metadata": {}, "outputs": [], "source": [ "skf = StratifiedKFold(n_splits=5)" ] }, { "cell_type": "code", "execution_count": 25, "id": "e8113575-c38c-45b9-9703-b18411395b89", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.9363333333333334\n", "0.92325\n", "0.8845\n", "0.8826666666666667\n", "0.9394166666666667\n" ] } ], "source": [ "for train_i , test_i in skf.split(X_train,y_train8):\n", " cloned_sgd = clone(sgd)\n", " X_train_f = X_train[train_i]\n", " y_train8_f = y_train8[train_i]\n", " X_test_f = X_train[test_i]\n", " y_test_f = y_train8[test_i]\n", "\n", " cloned_sgd.fit(X_train_f,y_train8_f)\n", " y_pred = cloned_sgd.predict(X_test_f)\n", " correct_predictions = (y_pred == y_test_f).sum()\n", " print(correct_predictions/len(y_pred))" ] }, { "cell_type": "code", "execution_count": 26, "id": "8346a141-231a-4143-9fda-051d324b49eb", "metadata": {}, "outputs": [], "source": [ "from sklearn.model_selection import cross_val_predict " ] }, { "cell_type": "code", "execution_count": 27, "id": "5360edb3-394c-40fa-bcda-275ff7386fd8", "metadata": {}, "outputs": [], "source": [ " y_pred= cross_val_predict(sgd,X_train,y_train8,cv=5)" ] }, { "cell_type": "code", "execution_count": 28, "id": "d409ee72-27a8-4a3f-a4aa-72184bce396c", "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import confusion_matrix" ] }, { "cell_type": "code", "execution_count": 29, "id": "cfb6c459-94bd-4103-b679-b280d063e25f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[51233, 2916],\n", " [ 1922, 3929]])" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "confusion_matrix(y_train8,y_pred)" ] }, { "cell_type": "code", "execution_count": 30, "id": "cb8c924e-e9c2-4385-a84d-3c06121deb08", "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import precision_score,recall_score,f1_score" ] }, { "cell_type": "code", "execution_count": 31, "id": "fa95e51c-c0a7-4075-9b32-3bc4315f09a8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.5739956172388605" ] }, "execution_count": 31, "metadata": {}, "output_type": "execute_result" } ], "source": [ "precision_score(y_train8,y_pred)" ] }, { "cell_type": "code", "execution_count": 32, "id": "4be7a682-0d79-493d-a1dc-ab8f72dc6135", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.6715091437361135" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recall_score(y_train8,y_pred)" ] }, { "cell_type": "code", "execution_count": 33, "id": "a3b77e40-fe0c-44ac-8bf6-9fb2936f27d0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.618935097668557" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ " f1_score(y_train8,y_pred)" ] }, { "cell_type": "code", "execution_count": 34, "id": "a75cb742-8217-4ad9-a2b5-0066e1e141fe", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([-11247.7289917])" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sgd.decision_function([X_train[0]])" ] }, { "cell_type": "code", "execution_count": 35, "id": "b9763c0e-aa5a-4761-a315-845c234060bf", "metadata": {}, "outputs": [], "source": [ "y_scores = cross_val_predict(sgd,X_train,y_train8,cv=5,method=\"decision_function\")" ] }, { "cell_type": "code", "execution_count": 36, "id": "3989b9bb-3b18-4d3a-b426-8280a515daec", "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import precision_recall_curve" ] }, { "cell_type": "code", "execution_count": 37, "id": "55946a23-f577-4439-8957-ccd4583ff311", "metadata": {}, "outputs": [], "source": [ "prec,recall,thresholds = precision_recall_curve(y_train8,y_scores)" ] }, { "cell_type": "code", "execution_count": 38, "id": "897cb199-29b2-4fac-bf29-b814628be21b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(60000,)" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "thresholds.shape" ] }, { "cell_type": "code", "execution_count": 39, "id": "f6d61e56-6f06-43ff-8783-1b8294e3d23f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(60001,)" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "prec.shape" ] }, { "cell_type": "code", "execution_count": 40, "id": "391e51bf-669f-4283-9798-9369461a0031", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(60001,)" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recall.shape" ] }, { "cell_type": "code", "execution_count": 41, "id": "6163651a-604f-44a8-9e42-31969215d050", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 42, "id": "b6fd36b0-8c90-4223-acfa-49c6e3c92f05", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[]" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax=plt.subplots()\n", "ax.plot(thresholds,prec[:-1],\"r\",label=\"precision\")\n", "ax.plot(thresholds,recall[:-1],\"black\",label=\"recall\")" ] }, { "cell_type": "code", "execution_count": 43, "id": "4d4ef48a-a34c-455a-9895-b8350e4a02b3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'precision')" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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ICLD7ASpLgL+P/tm3pTISYvTfR+1vGvjVj78qNHaZ7YcHeQKAc5hWburVqydvb+9ie2mOHDlSbG/OBfHx8erZs6eeeOIJdejQQQMGDNCsWbP09ttvKysryxmxgUu6tkmg9kwbdMnlYz9KdV4YAKjCTCs3vr6+Cg8PV3Jyst18cnKyIiMjS3zP6dOn5eVlH9nb21vS+T0+gNms3l7KSIjR3ueidW3jQLtly78/pJEfpHA+DgA4mKlXSyUmJmrYsGGaM2eOevTooTfffFNz587Vzp07FRISonHjxumXX37RggULJEnz58/Xgw8+qFdeeUUDBgxQVlaWRo8eLS8vL3399ddl+p3cxA/Otmjrfj2x+Lti8+0aBWjnwRzNHNpJQzo3NiEZALiP8nx/W52UqURDhw7VsWPHNHnyZGVlZal9+/ZKSkpSSMj5q1CysrLs7nlzzz33KDc3V6+99poee+wx1a5dWzfeeKOmT59u1p8AXNbfIoJLLDc7D+ZIkkYnpiqqXZCq+5r6P0cA8Bg8fgFwoj1HTqrfjDWlrvPxQ5EKD7nKSYkAwD3wbKlSUG7gSi710M6fpg2Sj7fpFzMCgMtwi5v4AZDSJg8ocb5l3HKFxi7TLyfOODkRALg/9twALsIwDIWNSyo2H1ynmtY9eaMJiQDAdbDnBnBDFotF6c9F6+OHetjN7z9+RqGxy7jdAQCUEeUGcCFeXhaFh9RRRkKMfpw60G7Zn6Z9blIqAHAvlBvARflZvfVNXD/b+OjJfD2xaLsKi9iDAwCl4ZwbwMUdO5mn8KnF99rsmjxQ1Xy9TUgEAM7HOTeAB6lb009JI3sVm28zYYXeWpfOuTgA8AfsuQHcxInT+fom4zc9uGBrict3TR6oM+cKVaeGr5OTAYDjcRO/UlBu4O5O5xeo/cSVKu3UmwHtgvTGsAjnhQIAB6PclIJyA0/y2XcH9ej7KZdc/sVjvdW8fk0nJgIAx6DclIJyA0+UffqcTpzJ14JNP2ve+n3FlvdsUVf/vr+bLBaLCekA4MpRbkpBuYGn23MkV/1mrC1xWWTzulr4ACUHgPuh3JSCcoOq4nR+ge54c7O2H8gutmzF6F5qVLuaAvx9TEgGAOVHuSkF5QZVjWEYStpxSI+8/22Jy1Mn9Fft6lxhBcC1cZ8bADYWi0UxHRpq1+SBJS7vNDlZn313UAWFRU5OBgCOwZ4boIoxDENZ2WcVmfBlsWUdg2vrhlb1NapvS3l5cV4OANfBYalSUG6A84qKDDV7OqnUdX6YMlD+PjziAYD5KDeloNwA9gzD0JTPduntDcUvIb8gIyHGiYkAoDjKTSkoN0DpVv9wRPfO/6bEZUsejlTnplc5OREAUG5KRbkByiYr+4x6xBc/L0eS9sVHc68cAE7F1VIArljDwGraPXWQ7usZVmxZ2LgkjV/6vc5xhRUAF8SeGwBlknv2nK6dtKrY/LM3tdPdkaHODwSgSuGwVCkoN8CVeXPtXj2X9EOx+eta1NO8eyLkZ+XqKgCVj3JTCsoNUDkeeHerPt91uMRlD/YK06h+rVTTz+rkVAA8FeWmFJQboPIYhqHpK37UnDV7S1zeq2U9LbivKycfA7hilJtSUG4Ax/jxUK4GzCz5aeQSV1gBuDKUm1JQbgDHe331Hr2w8scSl718eyf9pVNjJycC4O64FByAqR7p00IZCTEa2bdlsWWjPkzVK1/8ZEIqAFUFe24AOJRhGNp+IFtDXt9gN98qqKZWjLqeB3QCKBP23ABwGRaLRZ2CaysjIUbz7o6wze8+fFLNnk7S52klX3EFABXFnhsATpX+60nd+OKaEpdtnxClwOo+Tk4EwB1wQnEpKDeA+YqKDA2ZtUHfHcgucfmg9lfr+Vs7qJY/RQfAeZSbUlBuANfx26l8dZ6SXOo6KeP766oavk5KBMBVUW5KQbkBXNPOg9n6+4Jt+uXEmWLLOFwFgHJTCsoN4Pp+Opyrv87aqNy8Atsc98cBqjbKTSkoN4D7uP3NTdqcftxurqafVV89cYPq1fQzKRUAM3ApOACP8OHfeyisXg27uZN5BYqY+rlCY5cp/deTJiUD4MooNwBc2urHb1BGQozuiQwttuzGF9fozbV7VVRUpXZAA7gMDksBcCt7fz2pviXcJ6d/2yC9eFtHBXD5OOCROOemFJQbwDMs+y5Lj7z/bYnL3hoeoX5tg5ycCIAjcc4NAI8X06Gh9sVH65YuTYote2DBVoXGLtPX6cdMSAbAbOy5AeAR8guKNOajVC37Lstu/tE+LfRYVCtZLDygE3BnHJYqBeUG8GxHcs+q67Qvis0/2CtMXZpepb5tguRrZac14G4oN6Wg3ABVwzcZx/W3OZsuufyloR11c+fih7QAuCbOuQFQ5f0ptI72xUerTcOS/xEck7hdzZ9OUs7Zc05OBsDR2HMDoMo4kntWTyz6Tmt2/2o3X8vfqm/i+snfx9ukZAAuhz03AFCCBrX89e59XfXh37vbzeeeLVDr8Sv03+0HTUoGoDKx5wZAlXU456y6PVf85OOZQztpSGce0gm4Ek4oLgXlBsDvFRUZuv6F1Trw25kSlz8T00YP9Grm5FQA/ojDUgBQRl5eFq1/6kbtnjpIgzs2KrZ86rJdPKATcDOUGwCQ5Gv10qt3dNa++Gg9MeAau2U3lvAsKwCui3IDAL9jsVj0SJ8WykiIUd/WDWzzobHLTEwFoDwoNwBwCa/f1cVu3Hr8cpOSACgPyg0AXIK/j7f2TBtkG589V1TsHjkAXA/lBgBKYfX20rfj+9vGd7+9RfPW7zMxEYDLodwAwGXUqeGrCX9uaxtP+SxNobHLtGHPURNTAbgUyg0AlMF914Vp+ahednN3vfW1WsUt19lzhSalAlASyg0AlFGbhgHaEtdXXcPq2ObyC4vUevwK7eVeOIDLqPAdinfv3q2vvvpKR44cUVFRkd2yCRMmVEo4R+AOxQAqQ35BkQbOXKv0o6dsc7f/KVgP9GqmFg1qmpgM8EwOf/zC3Llz9dBDD6levXq6+uqrZbFYLn6gxaJvv/22/KmdhHIDoDLdPGuDUjJPFJv/adog+XizcxyoLA4vNyEhIXr44Yf11FNPVTikWSg3ACrbh1syFfvJjmLzt0U00XM3XysrJQe4Yg4vNwEBAUpNTVWzZu73MDnKDQBHOXuuUK3Hryg2vzH2RjWqXc2ERIDncPiDM//2t79p1apVFQr3R7NmzVJYWJj8/f0VHh6udevWlbp+Xl6e4uLiFBISIj8/PzVv3lxvv/12pWQBgCvh7+Ot9OeiFRfdxm4+MuFLkxIBVZO1Im9q0aKFxo8fr82bN+vaa6+Vj4+P3fKRI0eW6XMSExM1evRozZo1Sz179tQbb7yhQYMGKS0tTU2bNi3xPbfddpsOHz6sefPmqUWLFjpy5IgKCgoq8mcAQKXz8rLoweub6cHrm9k9j2rF94c0sP3VJiYDqo4KHZYKCwu79AdaLEpPTy/T53Tr1k1dunTR7NmzbXNt2rTRkCFDFB8fX2z9FStW6Pbbb1d6errq1KlTbHlZcFgKgDP9vuAMbHe15gwLNzEN4L4cfs5NZcjPz1f16tW1aNEi3Xzzzbb5UaNGKTU1VWvWrCn2nocffli7d+9WRESE3nvvPdWoUUM33XSTpkyZomrVSj6enZeXp7y8PNs4JydHwcHBlBsATjFv/T5N+Syt2PyYfq00ql9LExIB7snh59z8nmEYqkg/Onr0qAoLCxUUFGQ3HxQUpEOHDpX4nvT0dK1fv17ff/+9lixZopkzZ2rx4sV65JFHLvl74uPjFRgYaPsJDg4ud1YAqKj7rwvTJw9HFpt/6fPdCo1dpoMnzpiQCvBsFS43CxYs0LXXXqtq1aqpWrVq6tChg957771yf87v75EjnS9Lf5y7oKioSBaLRQsXLlTXrl0VHR2tGTNmaP78+TpzpuR/IMaNG6fs7Gzbz/79+8udEQCuRJemVykjIUbfxPXTLV2a2C2LTPhSi7bur9D/SQRQsgqVmxkzZuihhx5SdHS0PvroIyUmJmrgwIEaMWKEXnrppTJ9Rr169eTt7V1sL82RI0eK7c25oGHDhmrcuLECAwNtc23atJFhGDpw4ECJ7/Hz81NAQIDdDwCYoX4tP714W0dlJMTozx0a2uafWPydwsYlaWnKLyamAzxHhcrNq6++qtmzZ2v69Om66aab9Je//EXPP/+8Zs2apVdeeaVMn+Hr66vw8HAlJyfbzScnJysysvguXEnq2bOnDh48qJMnLz7DZffu3fLy8lKTJk1KfA8AuKLX7uyiKUPa282NTkzV7sO5JiUCPEeFyk1WVlaJBSQyMlJZWVll/pyxY8fqrbfe0ttvv61du3ZpzJgxyszM1IgRIySdP6Q0fPhw2/p33nmn6tatq3vvvVdpaWlau3atnnjiCd13332XPKEYAFzVsO4hykiI0bSbL5acqJfWsgcHuEIVKjctWrTQRx99VGw+MTFRLVuW/ez/oUOHaubMmZo8ebI6deqktWvXKikpSSEhIZLOl6jMzEzb+jVr1lRycrJOnDihiIgI3XXXXRo8eHCZ9xYBgCu6q1uI+lxT3zYenZhqdwk5gPKp0KXgH3/8sYYOHap+/fqpZ8+eslgsWr9+vb744gt99NFHdpd2uxrucwPAVX20db+eXPyd3dzIG1tobNQ1JiUCXIdT7nOzbds2vfTSS9q1a5cMw1Dbtm312GOPqXPnzhUK7SyUGwCu7HDOWXV77oti85/98zq1bxxYwjuAqsEtbuJnFsoNAFdnGIZGJ6bq09SDdvMvDe2omztz8QSqJoeUm5ycHNuH5eTklLquK5cGyg0AdzL5v2l6e8M+u7kfpgyUv4+3SYkAczik3Hh7eysrK0sNGjSQl5dXiTfau3ADvsLCwooldwLKDQB3s/DrnxW35Hu7uZTx/XVVDV+TEgHOV57v7zI/FfzLL7+0Paxy9erVV5YQAFBmd3ULUf+2Qeo67eK5OJ2nJOuZmDZ6oFczE5MBrolzbgDAjdwye6O2/fyb3dyuyQNVzZfDVPBsDn9w5ooVK7R+/Xrb+PXXX1enTp1055136rfffivlnQCAK/HxQ5F6c1i43VybCSv0yhc/aeHXP6ugsMikZIDrqFC5eeKJJ2wnFe/YsUNjx45VdHS00tPTNXbs2EoNCACwF9Xuam2J62s3NyN5t+KWfK8Wccv1dfoxk5IBrqFCh6Vq1qyp77//XqGhoZo0aZK+//57LV68WN9++62io6OLPQzTlXBYCoAnmf3VXk1f8UOx+QB/q6YMaa+/dGpsQiqg8jn8sJSvr69Onz4tSfr8888VFRUlSapTp85lLxMHAFSeh25oroyEGGUkxGjkjS1s8zlnCzTqw1R9k3HcxHSAOcp8tdTvXXfddRo7dqx69uypLVu2KDExUdL5J3TzdG4AMMfYqGtUP8Bfb61L18/Hzv8f0L/N2SRJ2vnsANXwq9A/+YDbqdCem9dee01Wq1WLFy/W7Nmz1bjx+d2ey5cv18CBAys1IACg7IZ1D9GaJ/oo4a/X2s23m7hSobHLdPxUvknJAOfhUnAA8FCb9h7THXM3l7hsy9N91SDA38mJgIrj8QuloNwAqGp2ZeXovvnfKCv7rN18RMhVWvxQpEmpgPLh8QuloNwAqKryC4r04IKtWrP7V9tc/7ZBmjs8wsRUQNnw+AUAQDG+Vi+9e19XnT1XqNbjV0iSktMOK/bj7xQ7qLVqV+dZVfAMnHMDAFXQ979k68+vrrebG9u/lUb2bWlSIqB0Dr/PzTvvvKNFixYVm1+0aJHefffdinwkAMCJ2jcO1H8fvc5ubkbyboXGLjMpEVB5KlRuEhISVK9evWLzDRo00HPPPXfFoQAAjndtk0BlJMTom7h+dvOhsct0JOfsJd4FuL4KlZuff/5ZYWFhxeZDQkKUmZl5xaEAAM5Tv5af9sVHq8lV1WxzXZ/7Qh9s4d9zuKcKlZsGDRrou+++Kza/fft21a1b94pDAQCcy2KxaP1TN+qeyFDb3LhPduj11XvMCwVUUIXKze23366RI0dq9erVKiwsVGFhob788kuNGjVKt99+e2VnBAA4yaSb2mnqkPa28Qsrf9SDC7aqil17AjdXoaul8vPzNWzYMC1atEhW6/mryYuKijR8+HDNmTNHvr6uezkhV0sBwOUdPZmniKmf283NuquLoq9taFIiVHUOuYlfSXbv3q3t27erWrVquvbaaxUSElLRj3Iayg0AlE3msdO6/gX7+5pZLFL6c9El3sgVcCSnlZv8/Hzt27dPzZs3t+3BcXWUGwAou8IiQ2+s3avnV/xoN78vnoID53L4fW5Onz6t+++/X9WrV1e7du1sV0iNHDlSCQkJFflIAIAL8vay6OEbWujHqQPt5sPGJamoiPNw4JoqVG7GjRun7du366uvvpK//8Wnyvbr10+JiYmVFg4A4Br8rN76YYp9wWn2dJJO5RWYlAi4tAqVm6VLl+q1117TddddZ7dbsm3bttq7d2+lhQMAuA5/H29lJMSoY3Bt21y7iSuVc/aceaGAElSo3Pz6669q0KBBsflTp05xDBYAPNzShyPVsUmgbdxh0ipN+SzNxESAvQqVmz/96U9atuzi80cuFJq5c+eqR48elZMMAOCSLBaLPn30Ot3+p2Db3Lz1+/TQv7eZmAq4qEKXOMXHx2vgwIFKS0tTQUGBXn75Ze3cuVObNm3SmjVrKjsjAMAFJdzSQf/s21I9E76UJC3//pBOnM5X7eque68zVA0V2nMTGRmpjRs36vTp02revLlWrVqloKAgbdq0SeHh4ZWdEQDgohrXrqZvx/e3jTtNTjYxDXBeuffcnDt3Tn//+981fvx4vfvuu47IBABwI3Vq+CrA36qcs+evnAqNXaaMhBiTU6EqK/eeGx8fHy1ZssQRWQAAbuq7SQPsxrfN2WRSEqCCh6VuvvlmLV26tJKjAADc2U/TBtleb8k4rp+PnTIxDaqyCp1Q3KJFC02ZMkUbN25UeHi4atSoYbd85MiRlRIOAOA+fLy9tGNSlK6dtEqS1PuFr/TOPX9Sn9bFbx0COFKFni0VFhZ26Q+0WJSenn5FoRyJZ0sBgGP9472tWrnzsG38TVw/1a/lZ2IieAKnPThTki683V1u3ke5AQDHe+jf27T8+0O28Z5pg2T1rtCZEIAkJzw4U5LmzZun9u3by9/fX/7+/mrfvr3eeuutin4cAMCDzP4/+9uCtIhbblISVEUVKjfjx4/XqFGjNHjwYC1atEiLFi3S4MGDNWbMGD3zzDOVnREA4Ib2xUfbjUNjlyn7DM+hguNV6LBUvXr19Oqrr+qOO+6wm//ggw/0z3/+U0ePHq20gJWNw1IA4DyGYShsXJLd3N7nouXt5R6nMsB1OPywVGFhoSIiIorNh4eHq6CgoCIfCQDwQBaLRenPRSukbnXbXPOnk3T0ZJ6JqeDpKlRu/u///k+zZ88uNv/mm2/qrrvuuuJQAADP4eVl0Zon+tjNRUz9XN9kHDcpETxdhQ5L/fOf/9SCBQsUHBys7t27S5I2b96s/fv3a/jw4fLx8bGtO2PGjMpLWwk4LAUA5jidX6C2E1bazU2/5VoN/VNTkxLBnTj8UvA+ffpcfiWd3x355ZdflvfjHYpyAwDmevnzn/TS57tt45Tx/XVVDZ4kjtI59T437oZyAwDme2/zzxq/9Hvb+MO/d1f3ZnVNTARX55T73AAAUFHDuoeopt/FJwDd/uZmdXvucxMTwZNQbgAApvj+2QH6+/XNbOPDOXkKjV2mgsIiE1PBE1BuAACmeTq6jfb87mni0vm7GRcWVakzJlDJKDcAAFNZvb2UkRCjVkE1bXPNn07SyTzum4aKodwAAFzCqjG91bbhxRNF209cWcrawKVRbgAALiNpVC91blrbNr7++dXmhYHbotwAAFzK4hGRtteZx08rNHaZijgHB+VAuQEAuBRvL4t+nDrQbq7Z00mXWBsojnIDAHA5flZvZSTE2M29+sVPJqWBu6HcAABc1g9TLu7BeTF5t5akHDAxDdwF5QYA4LL8fbz1+djetvGYxO2KT9plYiK4A8oNAMCltWhQU+/c8yfb+I216Wo2bpmJieDqKDcAAJfXp3UDffj37rZxkSGFxlJwUDLKDQDALXRvVlfrnuxjNxcau0xnzxWalAiuinIDAHAbwXWqa198tN1c6/ErTEoDV0W5AQC4FYvFooyEGHULq2Ob25px3MREcDWUGwCAW0r8Rw/b61vnbNL8DftMTANXQrkBALit2yKa2F5P+m+aol9eZ2IauArTy82sWbMUFhYmf39/hYeHa926sv2HuWHDBlmtVnXq1MmxAQEALuv5Wzsq/q/X2sZpWTkKjV2m/IIiE1PBbKaWm8TERI0ePVpxcXFKSUlRr169NGjQIGVmZpb6vuzsbA0fPlx9+/Z1UlIAgKu6o2tT7Zps/yyqVs8sNykNXIHFMAzTHrXarVs3denSRbNnz7bNtWnTRkOGDFF8fPwl33f77berZcuW8vb21tKlS5WamnrJdfPy8pSXl2cb5+TkKDg4WNnZ2QoICKiUvwMAYD7DMBQ27uIDNodGBGv6rR1MTITKlJOTo8DAwDJ9f5u25yY/P1/btm1TVFSU3XxUVJQ2btx4yfe988472rt3ryZOnFim3xMfH6/AwEDbT3Bw8BXlBgC4JovFoj3TBtnGiVv360juWRMTwSymlZujR4+qsLBQQUFBdvNBQUE6dOhQie/56aefFBsbq4ULF8pqtZbp94wbN07Z2dm2n/37919xdgCAa7J6e2lL3MVTFrpO+8LENDCL6ScUWywWu7FhGMXmJKmwsFB33nmnnn32WbVq1arMn+/n56eAgAC7HwCA52pQy99uPG89l4hXNaaVm3r16snb27vYXpojR44U25sjSbm5udq6daseffRRWa1WWa1WTZ48Wdu3b5fVatWXX37prOgAABeXMr6/7fWUz9JMTAIzmFZufH19FR4eruTkZLv55ORkRUZGFls/ICBAO3bsUGpqqu1nxIgRuuaaa5Samqpu3bo5KzoAwMVdVcNXz8S0sY2v4eqpKqVsJ644yNixYzVs2DBFRESoR48eevPNN5WZmakRI0ZIOn++zC+//KIFCxbIy8tL7du3t3t/gwYN5O/vX2weAID7rwvT1GW7JEl5BUVqM36Fdk0ZeJl3wROYes7N0KFDNXPmTE2ePFmdOnXS2rVrlZSUpJCQEElSVlbWZe95AwBASSwWi1InXDw8deZcoQa/ut7ERHAWU+9zY4byXCcPAHB/Wdln1CP+4nmZN3durJeGdjIvECrELe5zAwCAMzQMrKatz/SzjZek/KKVO0u+5Qg8A+UGAODx6tX00wu/u1vxP97bprPnCk1MBEei3AAAqoS/RQRr8YgetvHf39tmYho4EuUGAFBlRITWUbP6NSRJa3f/qgWbMswNBIeg3AAAqpQ3h4XbXk/4dCfPn/JAlBsAQJXSokEt/efRnrZx12lfqIpdOOzxKDcAgCqnQ5PaeuC6MNs4bFwSBceDUG4AAFXSM39uazfu/9Jak5KgslFuAABVVkZCjHy8LZKkPUdOKiXzN5MToTJQbgAAVVrKhCjb65tnbTQxCSoL5QYAUKXV9LPaXUEVMfVzE9OgMlBuAABVXlS7q22vj57M08ETZ0xMgytFuQEAQNKmcTfaXkcmfKlzhUUmpsGVoNwAAKDzD9h89Y7OtnHLuOXaeTDbxESoKMoNAAD/M7hjI13Xop5tHPPKehWwB8ftUG4AAPidfz/QTVP+0s42bhG33MQ0qAjKDQAAfzCsR6jd+KF/8wRxd0K5AQCgBBkJMbKcv7+fln9/SNt+5gZ/7oJyAwDAJSSPud72+pbZG3UkhyeIuwPKDQAAl9CiQS29fmcX27jrc1+YmAZlRbkBAKAUMR0a2o3TDuaYlARlRbkBAOAy1j3Zx/Y6+pV1JiZBWVBuAAC4jOA61fXAdWG2cWjsMhPT4HIoNwAAlMFjUdfI3+fi1+Ydb242MQ1KQ7kBAKAMqvl6a9fkgfK1nv/q3JR+THe9RcFxRZQbAADKyGKxaMekKNt4w55j+jr9mImJUBLKDQAA5eBn9daWuL628dA3N2vSf3aamAh/RLkBAKCcGtTy17DuIbbx/I0Z2rj3qImJ8HuUGwAAKmDKkPbaGHujbXzn3K9NTIPfo9wAAFBBjWpXs9uDEzH1cxmGYWIiSJQbAACuyJQh7W2vj57MU9i4JBPTQKLcAABwxbY83dduzE3+zEW5AQDgCjUI8NeeaYPs5r7JOG5SGlBuAACoBFZvL/0wZaBt/Lc5mzR3bbqJiaouyg0AAJXE38dbEwe3tY2nJe1SYREnGDsb5QYAgEp0b88wvTU8wjZu/jQnGDsb5QYAgErWr22Q3ZgTjJ2LcgMAgAPsi4+2G7efuNKkJFUP5QYAAAewWCzKSIixjU/mFehUXoGJiaoOyg0AAA70+0vE201cqazsMyamqRooNwAAOJDV20tPDWxtG/eI/1Jb9nEPHEei3AAA4GAP3dBcA9pdPMn4tjc2aceBbBMTeTbKDQAATvDGsAjdExlqGw9+bb12H841L5AHo9wAAOAkk25qp7m/uwdO1EtrTUzjuSg3AAA4Uf+2Qbr/ujDbuMuUZBkGdzGuTJQbAACc7JmYNrbXx0/lK2wcdzGuTJQbAACczGKxKHVCf7u50Nhl7MGpJJQbAABMULu6r7ZPiLKb6/DsKpPSeBbKDQAAJgms7qO0yQNs49yzBeo67XP24Fwhyg0AACaq7mu1KzhHcvM4B+cKUW4AADBZdV+r9sVH66rqPrY5niRecZQbAABcgMVi0ean+9rN3fjiV+aEcXOUGwAAXISf1Vv74qNt4/RfT2nKZ2kmJnJPlBsAAFyIxWLRd5MuXkU1b/0+TjAuJ8oNAAAuJsDfR58+0tM2DhuXpHOFRSYmci+UGwAAXFDH4Nrq0rS2bdwybjl7cMqIcgMAgIv65OGeCqlb3TYOG5dEwSkDyg0AAC5s9WM32I05RHV5lBsAAFyYl5fF7goq6fwhqm8zfzMpkeuj3AAA4OIsFosyEmI0NCLYNvfXWRu1KyvHxFSui3IDAICbmH5rBz0x4BrbeNDL63Qyr8DERK6JcgMAgBt5pE8Ljejd3DZuP3Gl8goKTUzkeig3AAC4mdhBrdW0zsWrqK55ZoXe25RhXiAXY3q5mTVrlsLCwuTv76/w8HCtW7fukut+8skn6t+/v+rXr6+AgAD16NFDK1eudGJaAABcw9on++j+68Js4/Gf7tSSlAMmJnIdppabxMREjR49WnFxcUpJSVGvXr00aNAgZWZmlrj+2rVr1b9/fyUlJWnbtm3q06ePBg8erJSUFCcnBwDAfOP/3FZLHo60jcckbte6n341MZFrsBgm3g2oW7du6tKli2bPnm2ba9OmjYYMGaL4+PgyfUa7du00dOhQTZgwoUzr5+TkKDAwUNnZ2QoICKhQbgAAXMnWjOO6dc4m2/iThyPVpelVJiaqfOX5/jZtz01+fr62bdumqKgou/moqCht3LixTJ9RVFSk3Nxc1alT55Lr5OXlKScnx+4HAABPEhFax24Pzl9nbVTq/hPmBTKZaeXm6NGjKiwsVFBQkN18UFCQDh06VKbPePHFF3Xq1Cnddtttl1wnPj5egYGBtp/g4OBLrgsAgLvq3PQqxQ5qbRsPeX2DDmWfNTGReUw/odhisdiNDcMoNleSDz74QJMmTVJiYqIaNGhwyfXGjRun7Oxs28/+/fuvODMAAK5oRO/meuHWDrZx9/gvtHZ31TsHx2rWL65Xr568vb2L7aU5cuRIsb05f5SYmKj7779fixYtUr9+/Upd18/PT35+flecFwAAd/C3iGAdP5Wv+OU/SJKGv71FbRsGKGlUL5OTOY9pe258fX0VHh6u5ORku/nk5GRFRkZe4l3n99jcc889ev/99xUTE+PomAAAuJ1/9G6uzk1r28ZpWTmav2GfeYGczLQ9N5I0duxYDRs2TBEREerRo4fefPNNZWZmasSIEZLOH1L65ZdftGDBAknni83w4cP18ssvq3v37ra9PtWqVVNgYKBpfwcAAK5mycM9VVhkqPnTSZKkSf9NU4/m9XTN1bVMTuZ4pp5zM3ToUM2cOVOTJ09Wp06dtHbtWiUlJSkkJESSlJWVZXfPmzfeeEMFBQV65JFH1LBhQ9vPqFGjzPoTAABwWd5eFn36SE/beMDMtfpi12ETEzmHqfe5MQP3uQEAVDUfbslU7Cc7bOO9z0XL2+vyF++4Ere4zw0AAHCO27s21at3dLaNmz+dpMxjp01M5FiUGwAAqoDBHRvZPWzz+hdW6+GF20xM5DiUGwAAqoi1T/bRsze1s42TdhxSaOwyFRZ51hkqlBsAAKqQuyND9dXjN9jNNX86SecKi8wJ5ACUGwAAqpjQejWUNnmA3VzLuOXylGuMKDcAAFRB1X2tykiI0V87N7bNPbjAM87BodwAAFCFzRjaSZ2Ca0uSPt91WD8eyjU3UCWg3AAAUMXN/r8uttcDZq7V3l9PmpjmylFuAACo4hoGVlPvVvVt474vrtGdczebmOjKUG4AAIDeva+r/hR6lW28ce8xTf0szcREFUe5AQAAkqRFIyL19dN9beO31u/TnXM3u91VVJQbAABgExTgr++fvXiZ+Ma9x9R2wkoTE5Uf5QYAANip6WfVN3H9bOMz5wr1+uo9JiYqH8oNAAAopn4tP+2eOsg2fmHlj/pwS6aJicqOcgMAAErka/VS8pjrbePYT3Yov8D1H9NAuQEAAJfUMqiWVv2u4HSZkmximrKh3AAAgFK1Cqql+rX8JEkn8wo06T87TU5UOsoNAAC4rFWjL+69mb8xQyPec93nUFFuAADAZV1Vw1fbJ0apuq+3JGnFzkM6lVdgcqqSUW4AAECZBFbz0bZn+tvG7SaudMkb/FFuAABAmVXz9dYdXZvaxmHjkrRxz1ETExVHuQEAAOUS/9dr7cZ3vvW1nl6yw6Q0xVFuAABAuWUkxOjPHRraxu9/nan9x0+bmOgiyg0AAKiQ1+7soi1xFx+0OWze1yamuYhyAwAAKqxBLX/dcE19SVLGsdM6e67Q5ESUGwAAcIV+fw7OR1v3m5jkPMoNAAC4Ig0Dq8liOf96wqfm372YcgMAAK7YIze0sL0+nHPWxCSUGwAAUAke7tPc9vqJxd+ZmIRyAwAAKkF1X6vt4Zprd/9qahbKDQAAqBRPR7eWJDWuXc3UHJQbAABQKTo0qS0vi+RlcruwmvvrAQCAp2hWr4b2Phcty4VLp0xCuQEAAJXC7FJzAYelAACAR6HcAAAAj0K5AQAAHoVyAwAAPArlBgAAeBTKDQAA8CiUGwAA4FEoNwAAwKNQbgAAgEeh3AAAAI9CuQEAAB6FcgMAADwK5QYAAHiUKvdUcMMwJEk5OTkmJwEAAGV14Xv7wvd4aapcucnNzZUkBQcHm5wEAACUV25urgIDA0tdx2KUpQJ5kKKiIh08eFC1atWSxWKp1M/OyclRcHCw9u/fr4CAgEr9bFzEdnYOtrNzsJ2dh23tHI7azoZhKDc3V40aNZKXV+ln1VS5PTdeXl5q0qSJQ39HQEAA/8NxArazc7CdnYPt7Dxsa+dwxHa+3B6bCzihGAAAeBTKDQAA8CiUm0rk5+eniRMnys/Pz+woHo3t7BxsZ+dgOzsP29o5XGE7V7kTigEAgGdjzw0AAPAolBsAAOBRKDcAAMCjUG4AAIBHodyU06xZsxQWFiZ/f3+Fh4dr3bp1pa6/Zs0ahYeHy9/fX82aNdOcOXOclNS9lWc7f/LJJ+rfv7/q16+vgIAA9ejRQytXrnRiWvdV3v+eL9iwYYOsVqs6derk2IAeorzbOS8vT3FxcQoJCZGfn5+aN2+ut99+20lp3Vd5t/PChQvVsWNHVa9eXQ0bNtS9996rY8eOOSmte1q7dq0GDx6sRo0ayWKxaOnSpZd9jynfgwbK7MMPPzR8fHyMuXPnGmlpacaoUaOMGjVqGD///HOJ66enpxvVq1c3Ro0aZaSlpRlz5841fHx8jMWLFzs5uXsp73YeNWqUMX36dGPLli3G7t27jXHjxhk+Pj7Gt99+6+Tk7qW82/mCEydOGM2aNTOioqKMjh07OiesG6vIdr7pppuMbt26GcnJyca+ffuMr7/+2tiwYYMTU7uf8m7ndevWGV5eXsbLL79spKenG+vWrTPatWtnDBkyxMnJ3UtSUpIRFxdnfPzxx4YkY8mSJaWub9b3IOWmHLp27WqMGDHCbq5169ZGbGxsies/+eSTRuvWre3m/vGPfxjdu3d3WEZPUN7tXJK2bdsazz77bGVH8ygV3c5Dhw41nnnmGWPixImUmzIo73Zevny5ERgYaBw7dswZ8TxGebfzCy+8YDRr1sxu7pVXXjGaNGnisIyepizlxqzvQQ5LlVF+fr62bdumqKgou/moqCht3LixxPds2rSp2PoDBgzQ1q1bde7cOYdldWcV2c5/VFRUpNzcXNWpU8cRET1CRbfzO++8o71792rixImOjugRKrKd//Of/ygiIkLPP/+8GjdurFatWunxxx/XmTNnnBHZLVVkO0dGRurAgQNKSkqSYRg6fPiwFi9erJiYGGdErjLM+h6scg/OrKijR4+qsLBQQUFBdvNBQUE6dOhQie85dOhQiesXFBTo6NGjatiwocPyuquKbOc/evHFF3Xq1CnddtttjojoESqynX/66SfFxsZq3bp1slr5p6MsKrKd09PTtX79evn7+2vJkiU6evSoHn74YR0/fpzzbi6hIts5MjJSCxcu1NChQ3X27FkVFBTopptu0quvvuqMyFWGWd+D7LkpJ4vFYjc2DKPY3OXWL2ke9sq7nS/44IMPNGnSJCUmJqpBgwaOiucxyrqdCwsLdeedd+rZZ59Vq1atnBXPY5Tnv+eioiJZLBYtXLhQXbt2VXR0tGbMmKH58+ez9+YyyrOd09LSNHLkSE2YMEHbtm3TihUrtG/fPo0YMcIZUasUM74H+b9fZVSvXj15e3sX+38BR44cKdZKL7j66qtLXN9qtapu3boOy+rOKrKdL0hMTNT999+vRYsWqV+/fo6M6fbKu51zc3O1detWpaSk6NFHH5V0/kvYMAxZrVatWrVKN954o1Oyu5OK/PfcsGFDNW7cWIGBgba5Nm3ayDAMHThwQC1btnRoZndUke0cHx+vnj176oknnpAkdejQQTVq1FCvXr00depU9qxXErO+B9lzU0a+vr4KDw9XcnKy3XxycrIiIyNLfE+PHj2Krb9q1SpFRETIx8fHYVndWUW2s3R+j80999yj999/n2PmZVDe7RwQEKAdO3YoNTXV9jNixAhdc801Sk1NVbdu3ZwV3a1U5L/nnj176uDBgzp58qRtbvfu3fLy8lKTJk0cmtddVWQ7nz59Wl5e9l+B3t7eki7uWcCVM+170KGnK3uYC5cazps3z0hLSzNGjx5t1KhRw8jIyDAMwzBiY2ONYcOG2da/cAncmDFjjLS0NGPevHlcCl4G5d3O77//vmG1Wo3XX3/dyMrKsv2cOHHCrD/BLZR3O/8RV0uVTXm3c25urtGkSRPj1ltvNXbu3GmsWbPGaNmypfHAAw+Y9Se4hfJu53feecewWq3GrFmzjL179xrr1683IiIijK5du5r1J7iF3NxcIyUlxUhJSTEkGTNmzDBSUlJsl9y7yvcg5aacXn/9dSMkJMTw9fU1unTpYqxZs8a27O677zZ69+5tt/5XX31ldO7c2fD19TVCQ0ON2bNnOzmxeyrPdu7du7chqdjP3Xff7fzgbqa8/z3/HuWm7Mq7nXft2mX069fPqFatmtGkSRNj7NixxunTp52c2v2Udzu/8sorRtu2bY1q1aoZDRs2NO666y7jwIEDTk7tXlavXl3qv7eu8j1oMQz2vwEAAM/BOTcAAMCjUG4AAIBHodwAAACPQrkBAAAehXIDAAA8CuUGAAB4FMoNAADwKJQbAADgUSg3AKq0SZMmqVOnTrbxPffcoyFDhpiWB8CVo9wAAACPQrkB4LLy8/PNjgDADVFuALiMG264QY8++qjGjh2revXqqX///kpLS1N0dLRq1qypoKAgDRs2TEePHrW9p6ioSNOnT1eLFi3k5+enpk2batq0abblTz31lFq1aqXq1aurWbNmGj9+vM6dO2fGnwfASSg3AFzKu+++K6vVqg0bNighIUG9e/dWp06dtHXrVq1YsUKHDx/WbbfdZlt/3Lhxmj59usaPH6+0tDS9//77CgoKsi2vVauW5s+fr7S0NL388suaO3euXnrpJTP+NABOwlPBAbiMG264QdnZ2UpJSZEkTZgwQV9//bVWrlxpW+fAgQMKDg7Wjz/+qIYNG6p+/fp67bXX9MADD5Tpd7zwwgtKTEzU1q1bJZ0/oXjp0qVKTU2VdP6E4hMnTmjp0qWV+rcBcB6r2QEA4PciIiJsr7dt26bVq1erZs2axdbbu3evTpw4oby8PPXt2/eSn7d48WLNnDlTe/bs0cmTJ1VQUKCAgACHZAfgGig3AFxKjRo1bK+Lioo0ePBgTZ8+vdh6DRs2VHp6eqmftXnzZt1+++169tlnNWDAAAUGBurDDz/Uiy++WOm5AbgOyg0Al9WlSxd9/PHHCg0NldVa/J+rli1bqlq1avriiy9KPCy1YcMGhYSEKC4uzjb3888/OzQzAPNxQjEAl/XII4/o+PHjuuOOO7Rlyxalp6dr1apVuu+++1RYWCh/f3899dRTevLJJ7VgwQLt3btXmzdv1rx58yRJLVq0UGZmpj788EPt3btXr7zyipYsWWLyXwXA0Sg3AFxWo0aNtGHDBhUWFmrAgAFq3769Ro0apcDAQHl5nf/na/z48Xrsscc0YcIEtWnTRkOHDtWRI0ckSX/5y180ZswYPfroo+rUqZM2btyo8ePHm/knAXACrpYCAAAehT03AADAo1BuAACAR6HcAAAAj0K5AQAAHoVyAwAAPArlBgAAeBTKDQAA8CiUGwAA4FEoNwAAwKNQbgAAgEeh3AAAAI/y/yX4iGIDGo4oAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(recall,prec)\n", "plt.xlabel(\"recall\")\n", "plt.ylabel(\"precision\")" ] }, { "cell_type": "code", "execution_count": 44, "id": "cb56e2ed-dad8-4297-9435-3f37b94236ea", "metadata": {}, "outputs": [], "source": [ "thresh_for_80_prec = thresholds[(prec>= 0.8).argmax()]" ] }, { "cell_type": "code", "execution_count": 45, "id": "c6d7a4cf-7072-4733-8e0e-d7ec7fcc2ab4", "metadata": {}, "outputs": [], "source": [ "y_pred_80_prec = (y_scores >= thresh_for_80_prec)" ] }, { "cell_type": "code", "execution_count": 46, "id": "48373946-d4d1-4d14-a58f-4aecf0aacbb1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([False, False, False, ..., False, False, True], shape=(60000,))" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_pred_80_prec" ] }, { "cell_type": "code", "execution_count": 47, "id": "99e43b0a-e3f9-4301-b342-5ed4f0ad0159", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.8" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "precision_score(y_train8,y_pred_80_prec)" ] }, { "cell_type": "code", "execution_count": 48, "id": "70e68a41-39ee-4afa-a3ce-18becba777ac", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.28302854212955053" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recall_score(y_train8,y_pred_80_prec)" ] }, { "cell_type": "code", "execution_count": 49, "id": "e4afd455-35bb-4a6a-9272-ae12aafa720c", "metadata": {}, "outputs": [], "source": [ "#ROC curve" ] }, { "cell_type": "code", "execution_count": 50, "id": "733a4fef-c1c0-4ed1-a796-02b510ec90d2", "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import roc_curve" ] }, { "cell_type": "code", "execution_count": 51, "id": "dbe7adca-a1ce-4b14-80cf-38a6cf147c05", "metadata": {}, "outputs": [], "source": [ "fpr,tpr,thresholds = roc_curve(y_train8,y_scores)" ] }, { "cell_type": "code", "execution_count": 52, "id": "943ec9cd-8410-4d95-96b9-df842b5703b8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'TPR')" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(fpr,tpr,)\n", "plt.xlabel(\"FPR\")\n", "plt.ylabel(\"TPR\")" ] }, { "cell_type": "code", "execution_count": 53, "id": "51554cdd-f12a-42bf-a005-ae02930cc3dc", "metadata": {}, "outputs": [], "source": [ "from sklearn.metrics import roc_auc_score" ] }, { "cell_type": "code", "execution_count": 54, "id": "ac1a530b-99fc-4fa4-b193-201a470db31f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.902325514217357" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roc_auc_score(y_train8,y_scores)" ] }, { "cell_type": "code", "execution_count": null, "id": "9c923bfe-8d3c-45ae-a17c-c002474012e3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "702c4423", "metadata": {}, "source": [ "# Random Forest version" ] }, { "cell_type": "code", "execution_count": 55, "id": "03511b3b", "metadata": {}, "outputs": [], "source": [ "from sklearn.ensemble import RandomForestClassifier" ] }, { "cell_type": "code", "execution_count": 56, "id": "e33d2d9a", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
RandomForestClassifier()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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" ], "text/plain": [ "RandomForestClassifier()" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rf=RandomForestClassifier()\n", "rf.fit(X_train,y_train8)" ] }, { "cell_type": "code", "execution_count": 57, "id": "295bf43c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([False, False, True])" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rf.predict(X_train[-3:])" ] }, { "cell_type": "code", "execution_count": 58, "id": "b90b85b0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.0" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rf.score(X_train,y_train8)" ] }, { "cell_type": "code", "execution_count": 59, "id": "f2ed5b0e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([0.98141667, 0.98183333, 0.982 , 0.97941667, 0.9835 ])" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cross_val_score(rf,X_train,y_train8,cv = 5,scoring=\"accuracy\" )" ] }, { "cell_type": "code", "execution_count": 60, "id": "3b2241b2", "metadata": {}, "outputs": [], "source": [ "y_pred_rf= cross_val_predict(rf,X_train,y_train8,cv=5)" ] }, { "cell_type": "raw", "id": "97b43edd-bbbb-40ab-ac5f-ecf5bcd944ce", "metadata": {}, "source": [ "confusion_matrix(y_train8,y_pred_rf)" ] }, { "cell_type": "code", "execution_count": 61, "id": "b2db46d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.9880510918829831" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "precision_score(y_train8,y_pred_rf)" ] }, { "cell_type": "code", "execution_count": 62, "id": "364475a1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.8196889420611861" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "recall_score(y_train8,y_pred_rf)" ] }, { "cell_type": "code", "execution_count": 63, "id": "0f873b15", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.8960298925735638" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f1_score(y_train8,y_pred_rf)" ] }, { "cell_type": "markdown", "id": "151fe8ce", "metadata": {}, "source": [ "random forest doesnt have decision_function so we use predict_proba instead" ] }, { "cell_type": "code", "execution_count": 64, "id": "d099f79d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(60000, 2)" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_probas_rf = cross_val_predict(rf,X_train,y_train8,cv=5,method=\"predict_proba\")\n", "y_probas_rf.shape" ] }, { "cell_type": "code", "execution_count": 65, "id": "3ce28b86", "metadata": {}, "outputs": [], "source": [ "y_scores_rf = y_probas_rf[:,1]" ] }, { "cell_type": "code", "execution_count": 66, "id": "8c42922e", "metadata": {}, "outputs": [], "source": [ "prec_rf,recall_rf,thresholds_rf = precision_recall_curve(y_train8,y_scores_rf)" ] }, { "cell_type": "code", "execution_count": 67, "id": "95da21c4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'precision')" ] }, "execution_count": 67, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(recall_rf,prec_rf)\n", "plt.xlabel(\"recall\")\n", "plt.ylabel(\"precision\")" ] }, { "cell_type": "code", "execution_count": 68, "id": "64465baf", "metadata": {}, "outputs": [], "source": [ "fpr_rf,tpr_rf,thresholds_rf = roc_curve(y_train8,y_scores_rf)" ] }, { "cell_type": "code", "execution_count": 69, "id": "4b35db9e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'TPR')" ] }, "execution_count": 69, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(fpr_rf,tpr_rf,)\n", "plt.xlabel(\"FPR\")\n", "plt.ylabel(\"TPR\")" ] }, { "cell_type": "code", "execution_count": 70, "id": "fb459479", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.996934364237175" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "roc_auc_score(y_train8,y_scores_rf)" ] }, { "cell_type": "markdown", "id": "558afe22", "metadata": {}, "source": [ "## 11. Bonus — compare both models on one ROC plot" ] }, { "cell_type": "code", "execution_count": 71, "id": "b1dbf62d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'ROC Comparison')" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.plot(fpr,tpr,\"b:\",label=\"SGD\")\n", "plt.plot(fpr_rf,tpr_rf,\"r-\",label=\"Random Forest\")\n", "plt.xlabel(\"FPR\")\n", "plt.ylabel(\"TPR\")\n", "plt.legend()\n", "plt.title(\"ROC Comparison\")" ] }, { "cell_type": "markdown", "id": "b1077275-0c66-4c13-a253-a39da8aa13b0", "metadata": {}, "source": [ "# classfication" ] }, { "cell_type": "code", "execution_count": 72, "id": "0a0dfeeb-366f-4aff-a6df-d006689b63cd", "metadata": {}, "outputs": [], "source": [ "# OvO -> n*(n-1)/2\n", "# OvR - OvA" ] }, { "cell_type": "code", "execution_count": 73, "id": "0e62cd31-fd5f-4071-ac61-6639fd2eaab6", "metadata": {}, "outputs": [], "source": [ "from sklearn.svm import SVC\n" ] }, { "cell_type": "code", "execution_count": 74, "id": "6d62109b-fbb5-4a90-855f-9e15b96bdae4", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
SVC()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "SVC()" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "svc = SVC()\n", "svc.fit(X_train[:1000],y_train[:1000])" ] }, { "cell_type": "code", "execution_count": 75, "id": "e8cd5a90-61f1-4da4-9023-0f9ae2b5571d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['5', '0', '4', ..., '5', '6', '8'], shape=(60000,), dtype=object)" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_train" ] }, { "cell_type": "code", "execution_count": 76, "id": "768d3a7a-1e84-4a84-a7c3-52e590e9d9f5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['5'], dtype=object)" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "svc.predict([X_train[0]])" ] }, { "cell_type": "code", "execution_count": 77, "id": "7723dd2f-108d-466e-b1b6-11043da14388", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[ 1.75828215, 2.74956232, 6.13809559, 8.2853702 , -0.28728967,\n", " 9.30119996, 0.74228825, 3.79256174, 7.20847395, 4.85762716]])" ] }, "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ "svc.decision_function([X_train[0]])" ] }, { "cell_type": "code", "execution_count": 78, "id": "57b39339-dbed-450d-813f-3167d98bd82f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'], dtype=object)" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "svc.classes_" ] }, { "cell_type": "code", "execution_count": 79, "id": "f508db7f-53a7-4276-acc4-256d957464b6", "metadata": {}, "outputs": [], "source": [ "from sklearn.multiclass import OneVsRestClassifier" ] }, { "cell_type": "code", "execution_count": 80, "id": "3a7fa3a4-1767-43a2-bd70-d8c4eb9863cb", "metadata": {}, "outputs": [], "source": [ "ovr_svm = OneVsRestClassifier(SVC())" ] }, { "cell_type": "code", "execution_count": 81, "id": "7be8d6cc-4f9d-4732-b7c8-e53a62c70813", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
OneVsRestClassifier(estimator=SVC())
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" ], "text/plain": [ "OneVsRestClassifier(estimator=SVC())" ] }, "execution_count": 81, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ovr_svm.fit(X_train[:1000],y_train[:1000])" ] }, { "cell_type": "code", "execution_count": 82, "id": "bc2f7f3a-d63e-4a61-9a17-0bd4f48352a7", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['5'], dtype='" ] }, "execution_count": 85, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ConfusionMatrixDisplay.from_predictions(y_train[:1000],y_pred)" ] }, { "cell_type": "code", "execution_count": 86, "id": "44253720-3663-4682-9b5a-21e1151a589c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ConfusionMatrixDisplay.from_predictions(y_train[:1000],y_pred,normalize=\"true\",values_format=\".0%\")" ] }, { "cell_type": "code", "execution_count": 87, "id": "fbb42587-9422-4f57-a8f7-c610f1580410", "metadata": {}, "outputs": [], "source": [ "weights = (y_pred != y_train[:1000])" ] }, { "cell_type": "code", "execution_count": 88, "id": "b0763a36-b853-4f25-bac0-9e590e937dac", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ConfusionMatrixDisplay.from_predictions(y_train[:1000],y_pred,sample_weight=weights,normalize=\"true\",values_format=\".0%\")" ] }, { "cell_type": "markdown", "id": "24e2d595-04ce-4126-b491-e57e5d60c954", "metadata": {}, "source": [ "# multilable classification " ] }, { "cell_type": "code", "execution_count": 89, "id": "f72317aa-9e64-4871-95d0-6e5942b2535e", "metadata": {}, "outputs": [], "source": [ "from sklearn.neighbors import KNeighborsClassifier\n", "import numpy as np" ] }, { "cell_type": "code", "execution_count": 91, "id": "d7c80a60-0e9b-4d52-9cb7-28d6d9a2e6cc", "metadata": {}, "outputs": [], "source": [ "y_train_above_5 = (y_train >'5')\n", "y_train_even = (y_train.astype(int)% 2 == 0)" ] }, { "cell_type": "code", "execution_count": 92, "id": "74fdfb8c-3386-48b7-b35b-6e6eb4bb6a12", "metadata": {}, "outputs": [], "source": [ " y_train_ml = np.c_[y_train_above_5,y_train_even]" ] }, { "cell_type": "code", "execution_count": 93, "id": "3be82b5c-745a-4bca-b71e-2f445fcba5f5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
KNeighborsClassifier()
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On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "KNeighborsClassifier()" ] }, "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ "knn = KNeighborsClassifier()\n", "knn.fit(X_train,y_train_ml)" ] }, { "cell_type": "code", "execution_count": 94, "id": "1eddc121-a4cb-452f-9151-0024bb6fd934", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[False, False]])" ] }, "execution_count": 94, "metadata": {}, "output_type": "execute_result" } ], "source": [ "knn.predict([X_train[0]])" ] }, { "cell_type": "code", "execution_count": 95, "id": "12617416-fb0c-4d27-9193-f17b800d160f", "metadata": {}, "outputs": [], "source": [ "y_pred = cross_val_predict(knn,X_train,y_train_ml,cv =3 ) " ] }, { "cell_type": "code", "execution_count": 96, "id": "759d8f2b-a46c-42cf-adac-b18e47c4c37f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.9781811708153896" ] }, "execution_count": 96, "metadata": {}, "output_type": "execute_result" } ], "source": [ "f1_score(y_train_ml,y_pred,average =\"macro\")\n", "# weighted " ] }, { "cell_type": "code", "execution_count": 97, "id": "0444b4cc-e048-4511-aca3-9b8db4b56d6b", "metadata": {}, "outputs": [], "source": [ "from sklearn.multioutput import ClassifierChain" ] }, { "cell_type": "code", "execution_count": 98, "id": "ac76c32e-87ec-440d-ba42-f28cd7ad2b7c", "metadata": {}, "outputs": [], "source": [ "chain_svc = ClassifierChain(SVC(),cv=3)" ] }, { "cell_type": "code", "execution_count": 99, "id": "04cec366-7ee2-49e4-93a8-683df01beaca", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
ClassifierChain(cv=3, estimator=SVC())
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On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" ], "text/plain": [ "ClassifierChain(cv=3, estimator=SVC())" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chain_svc.fit(X_train[:2000],y_train_ml[:2000])" ] }, { "cell_type": "code", "execution_count": 100, "id": "b289425a-8883-4e18-a917-ef61d78e9de0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[0., 0.]])" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "chain_svc.predict([X_train[0]])" ] }, { "cell_type": "markdown", "id": "65fc5051-121f-4b77-beb6-bc7dca7c82cc", "metadata": {}, "source": [ "# multioutput" ] }, { "cell_type": "code", "execution_count": 101, "id": "f8f104dd-f385-4c2d-91a2-2bdc54fbdfa2", "metadata": {}, "outputs": [], "source": [ "np.random.seed(40)\n", "image_noise = np.random.randint(0,100,X_train.shape)\n", "X_train_noisy = X_train + image_noise\n", "image_noise = np.random.randint(0,100,X_test.shape)\n", "X_test_noisy = X_test + image_noise\n", "y_train_mc = X_train\n", "Y_test_mc = X_test" ] }, { "cell_type": "code", "execution_count": 102, "id": "f5cc97b2-2e85-4aad-8c44-1e70ff4173db", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 102, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(X_train[0].reshape(28,28),cmap=\"binary\")" ] }, { "cell_type": "code", "execution_count": 103, "id": "5618c259-2d69-4dbb-b74f-13eab655b9a4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(X_train_noisy[0].reshape(28,28),cmap=\"binary\")" ] }, { "cell_type": "code", "execution_count": 104, "id": "cc86954b-70e9-4301-ba2e-e4de86263480", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
KNeighborsClassifier()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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" ], "text/plain": [ "KNeighborsClassifier()" ] }, "execution_count": 104, "metadata": {}, "output_type": "execute_result" } ], "source": [ "knn = KNeighborsClassifier()\n", "knn.fit(X_train_noisy,y_train_mc)" ] }, { "cell_type": "code", "execution_count": 105, "id": "ff559246-6343-4854-838d-4ce365d554ff", "metadata": {}, "outputs": [], "source": [ " pred = knn.predict([X_test_noisy[0]])" ] }, { "cell_type": "code", "execution_count": 106, "id": "cc1be62d-68c9-4163-b3a2-50f3701acc68", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 106, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.imshow(pred.reshape(28,28),cmap=\"binary\")" ] }, { "cell_type": "code", "execution_count": null, "id": "78113c69-e3b1-4627-b620-697b3346c639", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.13.9" } }, "nbformat": 4, "nbformat_minor": 5 }