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Table 2 Comparison of model efficiency and sensitivity

From: Implementation of machine learning algorithms to create diabetic patient re-admission profiles

Model

AUC

CA

F1

Precision

Recall

kNN

0.575

0.499

0.489

0.482

0.499

J48

0.578

0.490

0.487

0.485

0.490

SVM

0.547

0.475

0.421

0.483

0.475

Random Forest

0.602

0.529

0.509

0.499

0.529

Naïve Bayes

0.640

0.566

0.524

0.519

0.566