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 |