Table 4 The results of each evaluation parameter for each model test set

Logistic regression

0.450

0.774

0.756

0.732

0.725

0.666

0.740

Random forest

0.495

0.887

0.887

0.886

0.879

0.834

0.880

Decision Tree classifier

0.500

0.828

0.835

0.821

0.814

0.773

0.834

Gaussian NB

0.423

0.696

0.413

0.959

0.905

0.657

0.567

Bagging classifier

0.550

0.840

0.817

0.862

0.847

0.783

0.821

AdaBoost classifier

0.500

0.854

0.822

0.878

0.863

0.795

0.842