Table 9 Average performance comparison with state-of-art methods.
Methods | Accuracy | Precision | Recall | Specificity | F-score | Error rate | Time taken (S) |
|---|---|---|---|---|---|---|---|
K-NN | 0.70 | 0.71 | 0.68 | 0.72 | 0.70 | 0.30 | 49 |
NN | 0.88 | 0.87 | 0.89 | 0.86 | 0.88 | 0.12 | 72 |
SVM | 0.71 | 0.73 | 0.66 | 0.75 | 0.69 | 0.28 | 57 |
DT | 0.72 | 0.74 | 0.68 | 0.76 | 0.71 | 0.27 | 32 |
NB | 0.74 | 0.76 | 0.70 | 0.78 | 0.73 | 0.27 | 19 |
DT-SVM | 0.82 | 0.84 | 0.79 | 0.85 | 0.81 | 0.19 | 90 |
NB-KNN | 0.76 | 0.79 | 0.73 | 0.80 | 0.75 | 0.24 | 199 |
DT-SVM-KNN | 0.79 | 0.81 | 0.75 | 0.82 | 0.78 | 0.21 | 119 |
NB-NN-DT | 0.87 | 0.89 | 0.85 | 0.89 | 0.87 | 0.14 | 45 |
SVM-NB-KNN | 0.84 | 0.86 | 0.82 | 0.87 | 0.83 | 0.15 | 70 |
NeuroEvoClass | 0.92 | 0.91 | 0.89 | 0.91 | 0.90 | 0.09 | 75 |