Research Article
A Learning Framework of Nonparallel Hyperplanes Classifier
Table 3
Tenfold testing percentage test set accuracy (%) on binary-class UCI data sets for linear classifiers.
| Data sets | TWSVM | SVM | GEPSVM | BHNPSVM | Accuracy % | Accuracy % | Accuracy % | Accuracy % | Time (s) | Time (s) | Time (s) | Time (s) |
| Hepatitis | 82.89 ± 6.30* | 84.13 ± 5.58 | 80.07 ± 5.43 | 85.47 ± 1.36* | 0.012 | 0.012 | 0.0006 | 0.0304 | BUPA liver | 66.40 ± 7.74* | 67.78 ± 5.51 | 61.33 ± 6.26 | 69.97 ± 0.56* | 0.840 | 0.0549 | 0.0012 | 0.2143 | Heart-statlog | 84.44 ± 6.80 | 83.12 ± 5.41 | 75.37 ± 7.02 | 84.44 ± 0.56 | 0.023 | 0.0281 | 0.0022 | 0.1092 | Votes | 95.85 ± 2.75 | 95.80 ± 2.65 | 91.93 ± 3.18 | 95.58 ± 2.75 | 0.797 | 1.1446 | 0.0039 | 0.1027 | WPBC | 83.68 ± 5.73* | 83.30 ± 4.53 | 76.76 ± 6.67 | 81.32 ± 1.36* | 0.012 | 0.0432 | 0.0002 | 0.0465 | Sonar | 77.00 ± 6.10 | 80.13 ± 5.43 | 73.16 ± 8.33 | 74.15 ± 1.73 | 0.007 | 0.0946 | 0.0225 | 0.007 | Australian | 85.94 ± 5.84 | 88.51 ± 4.85 | 80.00 ± 3.99 | 85.27 ± 3.26 | 0.3460 | 0.2350 | 0.0029 | 0.4250 | Pima-Indian | 73.80 ± 4.97* | 77.34 ± 4.37 | 75.47 ± 4.64 | 77.05 ± 0.48* | 0.121 | 0.261 | 0.0016 | 0.4793 | CMC | 68.28 ± 2.21* | 67.82 ± 2.63 | 66.76 ± 2.98 | 77.86 ± 0.22* | 1.247 | 0.597 | 0.0050 | 1.197 |
| Mean accuracy | 79.81 | 80.88 | 75.65 | 81.23 | Mean time | 0.38 | 0.27 | 0.004 | 0.29 |
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A greater difference between BHNPSVM and TWSVM.
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