Table 1.

Detailed optimal parameters of three algorithms

Algorithm	Description
MLP	Network: (728,256,4), optimizer: Adam, Epoch: 50, and batch size: 8
RF	Number of estimators=100, bootstrap=True, max_features=’sqrt’
XGBoost	Objective=“reg:linear”, random state=42