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Table 10 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

0.722

0.624

0.631

0.309

0.812

0.374

REL

0.645

0.507

0.403

0.007

0.500

0.028

GD

0.675

0.630

0.633

0.268

0.549

0.270

ARS

0.666

0.601

0.589

0.226

0.670

0.263

LR

0.571

0.534

0.533

0.067

0.383

0.067

KNN

0.683

0.645

0.647

0.296

0.552

0.296

SVM

0.735

0.700

0.697

0.395

0.579

0.396

NB

0.649

0.571

0.568

0.158

0.510

0.168

DT

0.632

0.592

0.592

0.184

0.462

0.184

RF

0.692

0.538

0.478

0.101

1.000

0.230

My model

0.783

0.733

0.741

0.484

0.687

0.487