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@@ -31,7 +31,7 @@ def _get_best_model(X_train, y_train):
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svc = svm.SVC(probability=True, class_weight='balanced')
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#clf = GridSearchCV(svc, param_grid, cv=5, verbose=1, scoring=my_accuracy_scorer, n_jobs=-1)
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- clf = GridSearchCV(svc, param_grid, cv=3, verbose=1, n_jobs=-1)
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+ clf = GridSearchCV(svc, param_grid, cv=5, verbose=1, n_jobs=-1)
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clf.fit(X_train, y_train)
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