Table 5.

Summary of utilized machine learning models.

WB Model	Basic Parameters	BB Model	Basic Parameters
DT1	$\max \mathrm{depth}$ = 3	NN1	$\mathrm{N}.\mathrm{L}.1=64$ $, \mathrm{N}.\mathrm{L}.2=16$
DT2	$\max \mathrm{depth}$ = 5	NN2	$\mathrm{N}.\mathrm{L}.1=128$ $, \mathrm{N}.\mathrm{L}.2=32$
DT3	$\max \mathrm{depth}$ = 10	NN3	$\mathrm{N}.\mathrm{L}.1=256$ $, \mathrm{N}.\mathrm{L}.2=64$
NB	No parameters	SVM1	$C=1$
LR1	$C=1$	SVM2	$C=500$
LR2	$C=500$	SVM3	$C=1000$
LR3	$C=1000$	$k$-NN	$k=3$