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

Table 6

Single model prediction accuracy comparison.

Algorithm name	RMSE	MAE	MAPE
XGBoost	3965.725	1469.406	9.785
GBDT	3095.005	1356.619	10.753
SVR	8591.444	7199.914	223.206
MLP	8551.856	6216.566	86.296
LR	4683.808	3406.161	116.283
LSTM	4854.758	3522.867	12.967
RNN	6506.414	4936.082	32.877
CNN	5862.456	4442.039	27.082

Bold font indicates the best prediction accuracy among all models.