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Table 2 Performance of the classifiers for cases and control

From: Predictive model and feature importance for early detection of type II diabetes mellitus

 

With all Features

Classifiers

Measures

T2DM

Non-T2DM

Weighted avg

Accuracy

NB

Precision

0.93

0.81

0.87

87%

Recall

0.82

0.93

0.87

F1- score

0.87

0.86

0.87

SVM

Precision

0.97

0.75

0.97

84%

Recall

0.73

0.98

0.73

F1- score

0.84

0.85

0.84

KNN

Precision

0.90

0.77

0.84

 

Recall

0.78

0.90

0.84

83%

F1- score

0.84

0.83

0.83

 

DT

Precision

0.80

0.78

0.79

 

Recall

0.82

0.76

0.79

81%

F1- score

0.81

0.77

0.79

 
  1. Where NB-Naïve-Bayes, SVM -support vector machine, KNN- K-nearest neighbor and DT- Decision tree