Additional file 1.

The optimal hyperparameters for five models based on the ten-fold cross-validation.

Models	Hyperparameters	Settings
LRM	C	0.248
	max_iter	100000
	solver	liblinear
RF	max_depth	9
	max_features	10
	min_samples_leaf	8
	min_samples_split	4
XGBoost	gamma	0.2
	max_depth	4
	min_child_weight	6
	max_delta_step	0
MLP	kernel_initializer	uniform
	activation	hard_sigmoid
SVM	C	1000
	gamma	0.0001
	kernel	rbf
Simplified SVM	C	100
	gamma	0.001
	kernel	rbf

LRM: logistic regression model; MLP: multilayer perceptron; RF: random forest; SVM: support vector machine; XGBoost: extreme gradient boosting.