Machine Learning, Learning, Python3, Linear Regression, Math.
y_pred)) def mean_absolute_error(y_true, y_pred): return np.mean(np.abs(y_true - y_pred)) if __name__ == "__main__": np.random.seed(0) X = 2 * np.random.rand(100, 1) y = 3 * X + 4 + np.random.randn(100, 1) # Create and train the model model = LinearRegression() model.fit(X, y) # Predictions X_test