Table 7 Results of all binary classification models with their respective cross-validation and their accuracy of the balanced database using ADASYN
Epileptic | Without Epileptic | |||
|---|---|---|---|---|
Accuracy [%] | Cross Validation [%] | Precision [%] | Precision [%] | |
ETC | 97.87 | 98.50 ± 1.0 | 98.90 | 96.80 |
RFC | 97.04 | 96.00 ± 2.0 | 99.00 | 95.20 |
GB | 98.18 | 98.20 ± 1.0 | 97.50 | 98.80 |
DTC | 89.96 | 91.00 ± 3.0 | 89.50 | 90.40 |
MLP | 98.60 | 98.70 ± 0.1 | 99.60 | 97.60 |
KNN | 99.81 | 1.000 ± 1.5 | 99.60 | 99.60 |
SGD | 61.44 | 62.50 ± 1.0 | 58.00 | 71.90 |
SVM | 98.63 | 98.80 ± 0.5 | 99.70 | 97.60 |
CNN+Fully | 99.40 | 99.50 ± 1 | 99.50 | 99.30 |
CNN+Capsule-Net | 98.22 | 98.50 ± 0.4 | 98.40 | 98.10 |
CNN+TF | 94.42 | 92.80 ± 2.0 | 90.70 | 99.00 |
CNN+Tf+FULLY | 97.83 | 96.50 ± 1.0 | 99.9 | 97.90 |
CNN+TF+Capsule-Net | 98.91 | 98.20 ± 1.0 | 99.10 | 98.70 |