Python, Error, Prediction, Reducing.
regression model and make predictions. from sklearn.linear_model import LinearRegression from sklearn.metrics import mean_squared_error # Build and train the linear regression model model = LinearRegression() model.fit(X_train, y_train) # Make predictions y_pred = model.predict(X_test) # Evaluate