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Table 18 Model evaluation(7–3)

From: A diabetes prediction model based on Boruta feature selection and ensemble learning

 

Accuracy

Recall

F1 Index

Kappa

Precision

MCC

XGBoost

0.846

0.837

0.839

0.678

0.863

0.679

REL

0.846

0.830

0.837

0.678

0.807

0.694

GD

0.801

0.796

0.788

0.576

0.872

0.579

ARS

0.564

0.516

0.499

0.034

0.600

0.038

LR

0.602

0.534

0.533

0.073

0.675

0.074

KNN

0.532

0.521

0.517

0.042

0.647

0.042

SVM

0.634

0.589

0.590

0.184

0.694

0.186

NB

0.724

0.647

0.641

0.336

0.696

0.421

DT

0.794

0.783

0.783

0.566

0.833

0.566

RF

0.673

0.567

0.525

0.161

0.662

0.254

My model

0.858

0.863

0.854

0.710

0.919

0.714