MAPE 平均絕對百分誤差

 

from fbprophet.diagnostics import performance_metrics

df_p = performance_metrics(df_cv)

df_p.head()

 

	horizon	mse	rmse	mae	mape	coverage
3297	37 days	0.481970	0.694241	0.502930	0.058371	0.673367
35	37 days	0.480991	0.693535	0.502007	0.058262	0.675879
2207	37 days	0.480936	0.693496	0.501928	0.058257	0.675879
2934	37 days	0.481455	0.693870	0.502999	0.058393	0.675879
393	37 days	0.483990	0.695694	0.503418	0.058494	0.675879

 

mape平均絕對百分誤差

• 定義
  

• def evalmape(preds, dtrain): gaps = dtrain.get_label() err = abs(gaps-preds)/gaps err[(gaps==0)] = 0 err = np.mean(err)*100 return 'error',err