Python, Error, Prediction, Reducing.
grid search. from sklearn.model_selection import GridSearchCV # Perform grid search for hyperparameter optimization param_grid = {'alpha': [0.1, 1, 10, 100]} grid_search = GridSearchCV(model, param_grid, cv=5) grid_search.fit(X_train, y_train) best_model = grid_search.best_estimator_ Here, we used