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@@ -10,7 +10,8 @@ import sklearn.svm as svm
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def _get_best_model(X_train, y_train):
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- Cs = [0.001, 0.01, 0.1, 1, 10, 100, 1000]
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+ #Cs = [0.001, 0.01, 0.1, 1, 10, 100, 1000]
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+ Cs = [1, 2, 4, 8, 16, 32]
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gammas = [0.001, 0.01, 0.1, 1, 5, 10, 100]
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param_grid = {'kernel':['rbf'], 'C': Cs, 'gamma' : gammas}
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