Table 13.
Average performance of parameters among the classifiers at various optimization techniques with different features for normal cases.
| Performance parameters | ANN | QDA | SVM | LR | FLDA | KNN |
|---|---|---|---|---|---|---|
| Perfect classification | 56.75227 | 58.44348 | 72.59401 | 61.12578 | 60.1035 | 62.45814 |
| Performance index | 22.0149 | 27.30796 | 59.76428 | 32.75924 | 30.79819 | 35.85038 |
| Accuracy | 78.37614 | 79.22174 | 86.29786 | 80.56403 | 80.05268 | 81.22938 |
| GDR | 54.51164 | 58.44344 | 72.43905 | 59.11251 | 37.6745 | 55.96857 |
| Error rate | 43.24759 | 41.55656 | 27.4062 | 38.87433 | 39.89642 | 37.54199 |