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Journal of Cloud Computing

Advances, Systems and Applications

Table 3 Evaluation indicator values for layer actions response time under different time granularities

From: Wavelet transforms based ARIMA-XGBoost hybrid method for layer actions response time prediction of cloud GIS services

 

Model

RMSE

MAE

R-square

3-Step

ARIMA

10.5081

6.8579

0.6556

XGBoost

10.705

6.0911

0.6398

WT-ARIMA

11.2837

7.3057

0.6028

WT-XGBoost

10.287

6.1613

0.6674

ARIMA-XGBoost

10.0024

6.2861

0.6855

WT-ARIMA-XGBoost

9.7799

6.1975

0.6994

5-Step

ARIMA

12.9111

8.4892

0.476

XGBoost

13.7775

8.0557

0.4033

WT-ARIMA

12.5967

8.4034

0.5012

WT-XGBoost

13.5617

8.1328

0.4219

ARIMA-XGBoost

13.6862

8.2382

0.4112

WT-ARIMA-XGBoost

12.4746

8.1013

0.5109

  1. Bold means that this model achieves the best results for this metric in this case compared to other models
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