Last Updated on 2021-11-17 by Clay Symmetric Mean Absolute Percentage Error (SMAPE) is a classic evaluation metric for “predicted value and actual value“. It can be regarded as a kind of improvement of Mean Absolute Percentage Error (MAPE), because MAPE does not predict the limit for the case where the predicted value is higher than … Continue reading [Machine Learning] Introduction To SMAPE Metric (With Example)