Table 2.

The tuning parameter values of machine learning algorithms

Methods	Hyperparameters	Value for death outcome	Value for relapse outcome
ANN	size	5	5
	weight decay	0.1	0.1
SVM	gamma	0.061	0.074
	cost	1	1
	kernel	radial	radial
LS-SVM	tau	0.0625	0.0625
	sigma	0.099	0.131
	kernel	rbfdot	rbfdot
NB	laplace	0	0
	use kernel	TRUE	TRUE
	adjust	1	1
RF	mtry	7	6
	ntree	1000	500
DT	minsplit	6	6
	minbucket	2	2
	cp.	0.02	0.01
	maxdepth	4	8
Bagging	mfinal	100	50
	maxdepth	3	3
Boosting	mfinal	100	100
	coeflearn	Breiman	Freund
	maxdepth	3	3