Research Article
Piecewise-Smooth Support Vector Machine for Classification
Table 1
PWSSVM compared with SSVM, FPSSVM, and TSSVM on NDC generated dataset with difference sizes (
).
| Trains/dimension | Algorithm | Train correctness (%) | Test correctness (%) | Time (s) |
| | SSVM | 90.86 | 91.25 | 278.97 | 2,000,000/10 | FPSSVM | 90.86 | 91.25 | 367.46 | | TSSVM | 90.98 | 91.33 | 342.45 | | PWSSVM | 91.34 | 91.75 | 339.64 |
| | SSVM | 87.64 | 87.08 | 417.64 | 2,000,000/20 | FPSSVM | 87.88 | 88.05 | 449.28 | | TSSVM | 87.89 | 88.05 | 446.45 | | PWSSVM | 88.14 | 88.36 | 449.20 |
| | SSVM | 94.26 | 93.60 | 11.17 | 10,000/100 | FPSSVM | 94.78 | 93.60 | 11.33 | | TSSVM | 94.77 | 93.77 | 6.24 | | PWSSVM | 94.85 | 95.52 | 4.26 |
| | SSVM | 96.67 | 86.20 | 56.22 | 10,000/1000 | FPSSVM | 96.69 | 86.14 | 66.52 | | TSSVM | 96.69 | 86.16 | 26.69 | | PWSSVM | 97.94 | 86.23 | 18.73 |
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