# Train a Linear Regression model lm_model <- lm(medv ~ ., data = Boston, subset = train) lm_pred <- predict(lm_model, X_test) # Evaluate performance mse_lm <- mean((y_test - lm_pred)^2) print(paste("MSE for Linear Regression:", round(mse_lm, 2)))