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Table 3 Performance of four machine learning models in training and validation cohorts

From: Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer

 

Training Cohort

Validation Cohort

Model

AUC

Accuracy

Sensitivity

Specificity

Recall

F1 Score

AUC

Accuracy

Sensitivity

Specificity

Recall

F1 Score

SVM

0.995

0.954

0.936

1

0.936

0.96

0.987

0.855

0.8

1

0.8

0.889

DT

0.97

0.9466

0.919

0.957

0.919

0.907

0.904

0.836

0.933

0.8

0.933

0.757

RF

0.963

0.9

0.946

0.883

0.946

0.843

0.953

0.873

0.867

0.875

0.867

0.788

LR

0.994

0.969

0.971

0.967

0.919

0.944

0.95

0.855

0.733

0.9

0.733

0.733