Research Article
A Learning Framework of Nonparallel Hyperplanes Classifier
Table 4
Tenfold testing percentage test set accuracy (%) on binary-class UCI datasets for nonlinear classifiers.
| Datasets | TWSVM | SVM | GEPSVM | BHNPSVM | Accuracy % | Accuracy % | Accuracy % | Accuracy % | Time (s) | Time (s) | Time (s) | Time (s) |
| Hepatitis | 83.39 ± 7.31 | 84.13 ± 6.25 | 80.00 ± 5.2 | 83.40 ± 3.58 | 0.016 | 0.0142 | 0.0035 | 0.0697 | BUPA liver | 67.83 ± 6.49* | 68.32 ± 7.20 | 63.01 ± 7.46 | 74.24 ± 0.64* | 0.033 | 0.0129 | 1.305 | 0.1522 | Heart-statlog | 82.96 ± 4.67* | 83.33 ± 9.11 | 86.52 ± 7.36 | 84.04 ± 4.56* | 0.029 | 0.0250 | 0.438 | 0.1120 | Votes | 94.91 ± 4.37 | 95.64 ± 7.23 | 94.5 ± 3.37 | 95.21 ± 5.18 | 0.072 | 0.0495 | 0.087 | 0.0152 | WPBC | 81.28 ± 5.92 | 80.18 ± 6.90 | 80.07 ± 5.97 | 80.89 ± 1.17 | 0.029 | 0.0148 | 0.0043 | 0.0468 | Sonar | 89.64 ± 6.11 | 88.93 ± 10.43 | 81.93 ± 4.41 | 88.05 ± 1.79 | 0.014 | 0.0781 | 0.020 | 0.2896 | Australian | 75.8 ± 4.91* | 85.51 ± 4.85 | 69.55 ± 5.37 | 77.58 ± 2.53* | 0.420 | 0.0425 | 0.334 | 0.497 | Pima-Indian | 73.74 ± 5.2* | 76.09 ± 3.58 | 74.66 ± 5.00 | 77.70 ± 0.39* | 0.427 | 0.442 | 15.892 | 0.381 | CMC | 73.95 ± 3.48* | 68.98 ± 3.44 | 68.67 ± 3.84 | 78.43 ± 0.13* | 1.708 | 1.755 | 1.042 | 1.920 |
| Mean accuracy | 80.39 | 81.23 | 77.66 | 82.17 | Mean time | 0.3053 | 0.27 | 2.1251 | 0.3871 |
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A greater difference between BHNPSVM and TWSVM.
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