Table 1.

Supplemental data (parameters)

Model	Degree of Differentiation	T stage	N stage
MLP	hidden_layer_sizes = (30)	hidden_layer_sizes = (30)	hidden_layer_sizes = (30)
LR	penalty = ‘l2’, solver = ‘liblinear’	penalty = ‘l2’, solver = ‘liblinear’	penalty = ‘l2’, solver = ‘liblinear’
SVM	kernel = ‘rbf’, probability = True	kernel = ‘Poly’, probability = True	kernel = ‘rbf’, probability = True
DT	criterion = ‘gini’	criterion = ‘gini’	criterion = ‘gini’
RF	n_estimators = 15	n_estimators = 15	n_estimators = 15
KNN	n_neighbors = 5	n_neighbors = 5	n_neighbors = 5