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using Platt scaling calibrated_classifier = CalibratedClassifierCV(base_estimator=svm_classifier, method='sigmoid', cv=5) calibrated_classifier.fit(X_train, y_train) #Make predictions on the testing data y_pred_proba = calibrated_classifier.predict_proba(X_test) #Evaluate the calibration using