Probability, Calibration, Machine Learning, Data Science, Model Tuning.
Split the data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y_binary, test_size=0.2, random_state=42) # Train a random forest classifier rf_classifier = RandomForestClassifier(n_estimators=100) rf_classifier.fit(X_train, y_train) # Calibrate the classifier