Table 3.

Comparison table of accuracy of multiple models

Model	Mean squared error	Hyperparameter
Random forest regression	0.1195	‘n_estimators’:920
Adaboost regression	0.2127	‘n_estimators’:1750
GBDT regression	0.1654	‘n_estimators’:570
Lasso regression	0.1309	Kernel=‘linear’
BP neural network	0.0190	Number of hidden layer nodes:5