Python, Data Science, Machine Learning, Technology, Finance.
train_test_split(X_train_val, y_train_val, test_size=0.25, random_state=42) # Train SVC model svc = SVC(probability=True) # Set probability=True for SVC to enable probability estimates svc.fit(X_train, y_train) y_pred_val = svc.predict(X_val) prob_pos_val = svc.predict_proba(X_val)[:, 1]