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Table 5 Performance of the classifiers without comorbidities

From: Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study

Model

Precision

Recall

F1 score

Accuracy

ANN

0.6736

0.8090

0.7342

0.7471

SVM

0.6817

0.7655

0.7210

0.7443

Decision tree

0.6526

0.7302

0.6865

0.7039

Linear Regression

0.6777

0.7911

0.7299

0.7472

Logistic Regression

0.6826

0.7693

0.7232

0.7384