Error1 Regression error - Mean Absolute Error, np.mean(np.abs((y_true - y_pred))), is related to Least Absolute Deviations or L1-norm. - Mean Squared Error, np.mean(np.square((y_true - y_pred))). - Root Mean Squared Error, np.sqrt(MSE(y_true, y_pred)), is called as Euclidean norm or L2-norm. - Mean Absolute Percentage Error, np.mean(np.abs((y_true - y_pred) / y_true)) * 100. - Mean Percentage Error, np.mean((y_true - y.. 2021. 7. 4. 이전 1 다음