Table 10.
Performance of the multi-class classifiers
Method
AUC
CA
F1
Precision
Recall
kNN
0.817
0.721
0.678
0.604
0.773
SVM
0.960
0.909
0.882
0.870
0.893
Neural Network
0.915
0.893
0.861
0.855
0.867
Logistic Regression
0.813
0.746
0.706
0.632
0.800
Method
AUC
CA
F1
Precision
Recall
kNN
0.817
0.721
0.678
0.604
0.773
SVM
0.960
0.909
0.882
0.870
0.893
Neural Network
0.915
0.893
0.861
0.855
0.867
Logistic Regression
0.813
0.746
0.706
0.632
0.800
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