MASE(Mean Absolute Scaled Error,平均绝对缩放误差)是一种用于评估时间序列预测模型性能的指标。 MASE通过对MAE(平均绝对误差)进行缩放,使得误差可以与基准模型(如Naïve预测)进行比较。MASE的计算方式如下: 对于非季节性的时间序列: [ \text{MASE} = \frac{\frac{1}{N}\sum_{t=1}^{N} |y_t - \hat{...
scoring='neg_mean_absolute_error', param_grid=param_grid)\nscaledAndTunedSVR = make_pipeline(StandardScaler(), tunedSVR)\nregressor = MultiOutputRegressor(scaledAndTunedSVR)" } Traceback (most recent call last): File "/root/.local/share/QGIS/QGIS3/profiles/default/python/plugins/enmapboxplugi...
Head Angle: The absolute angle of the head with the global coordinate system. This is calculated for you if you check the option box when processing the static trial. ASIS-Trochanter distance: The perpendicular distance from the trochanter to the ASIS point. If this value is not entered, then...
To provide an intuitive estimate of shoreline mapping accuracy that did not overly penalise these validation method errors, we used Mean Absolute Error (MAE; the arithmetic average of absolute errors) as our primary accuracy assessment metric, but also include RMSE in tabled results (Willmott and ...