Table 1 Hyper-parameters of applied ML algorithms in this study

BARTm, BART

Number of trees

50

Prior probability (k)

2

kNN

Number of neighbors

27

SVM

Gamma parameter

0.125

Cost of constraint violation

1

DT

Complexity parameter

0.01

RF

Number of candidate variables at each split

2

ANN

Number of the units in the hidden layer

2

Decay weight parameter

0.1

GBM

Number of iterations

150