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Table 1 Supplemental data (parameters)

From: MRI-based radiomics of rectal cancer: preoperative assessment of the pathological features

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