Comparative of classification accuracy of heart disease data for different techniques
| Methods | % of relative error in training | % of relative error in testing | Ratio of classification accuracy in sample training (%) | Ratio of classification accuracy in sample testing (%) | Training time in sec. |
|---|---|---|---|---|---|
| MLP | 21.3 | 23.0 | 78.7 | 77.0 | 00:00:00.039 |
| RBF | 23.9 | 36.1 | 76.1 | 63.9 | 00:00:00.603 |
| MLP VIA FCM AND MCA | 1.9 | 3.4% | 98.1 | 96.6 | 00:00:00.016 |
| MLP VIA FCM AND PCA | 2.5 | 5.1 | 97.5 | 94.9 | 00:00:00.065 |
| RBF VIA FCM AND MCA | 4.6 | 6.3 | 95.4 | 93.7 | 00:00:00.155 |
| RBF VIA FCM AND PCA | 5.9 | 7.9 | 94.1 | 92.1 | 00:00:00.170 |
| Methods | % of relative error in training | % of relative error in testing | Ratio of classification accuracy in sample training (%) | Ratio of classification accuracy in sample testing (%) | Training time in sec. |
|---|---|---|---|---|---|
| MLP | 21.3 | 23.0 | 78.7 | 77.0 | 00:00:00.039 |
| RBF | 23.9 | 36.1 | 76.1 | 63.9 | 00:00:00.603 |
| MLP VIA FCM AND MCA | 1.9 | 3.4% | 98.1 | 96.6 | 00:00:00.016 |
| MLP VIA FCM AND PCA | 2.5 | 5.1 | 97.5 | 94.9 | 00:00:00.065 |
| RBF VIA FCM AND MCA | 4.6 | 6.3 | 95.4 | 93.7 | 00:00:00.155 |
| RBF VIA FCM AND PCA | 5.9 | 7.9 | 94.1 | 92.1 | 00:00:00.170 |
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