COVID-19 Propagation Prediction Model Using Improved Grey Wolf Optimization Algorithms in Combination with XGBoost and Bagging-Integrated Learning

Table 7

Comparison of prediction accuracy of combined algorithms.

Algorithm name	RMSE	MAE	MAPE
Bagging-COLGWO-XGBoost	904.515	539.551	2.759
Bagging-COLGWO-GBDT	2273.204	819.237	2.851
COLGWO-XGBoost	1211.977	579.778	3.235
COLGWO-GBDT	2419.836	1086.354	5.179
GWO-XGBoost	1230.206	620.652	4.823
GWO-GBDT	3084.185	1260.101	10.627

Bold font indicates the best prediction accuracy among all models.