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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