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Table 7 The performance of 7 ML models in the validation set

From: Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning

Model

AUC

ACC

Recall

F1-score

Precision

MGA-XGBoost

0.862

0.877

0.679

0.704

0.731

XGBoost

0.833

0.844

0.618

0.66

0.708

LGBM

0.788

0.786

0.532

0.581

0.64

Random Forest

0.777

0.773

0.581

0.621

0.668

Linear Regression

0.723

0.731

0.29

0.353

0.45

SVM

0.683

0.74

0.323

0.333

0.345

BP

0.608

0.714

0.418

0.271

0.2