Table 1 Experimental parameters of models

Logistic regression

C = 1, penalty = 'l2'

KNN

n_neighbors = 17

SVM

kernel = rbf, C = 4, degree = 3, gamma = 0.004

Decision tree

max_depth = 3

RF

n_estimators = 69

BP

hidden_layer_sizes = 142

AdaBoost

n_estimators = 65

Easy-Ensemble

n_estimators = 65

Proposed model

T = 65