Research Article
An ISVM Algorithm Based on High-Dimensional Distance and Forgetting Characteristics
Table 6
The comparison of classification performance of the four algorithms for “mushroom.”
| Iteration count | Simple-ISVM | KKT-ISVM | CSV-ISVM | HDFC-ISVM | ACC | Time (s) | ACC | Time (s) | ACC | Time (s) | ACC | Time (s) |
| 1 | 1 | 0.1828 | 1 | 0.1641 | 0.999 | 0.1319 | 0.998 | 0.132 | 2 | 0.996 | 0.1797 | 1 | 0.1719 | 0.94 | 0.1873 | 0.989 | 0.187 | 3 | 0.9823 | 0.245 | 0.994 | 0.1428 | 0.97 | 0.1575 | 0.994 | 0.158 | 4 | 0.994 | 0.3161 | 0.998 | 0.1838 | 0.986 | 0.13 | 0.991 | 0.13 | 5 | 1 | 0.5385 | 0.998 | 0.1862 | 0.997 | 0.1997 | 1 | 0.2 | 6 | 0.996 | 0.5215 | 0.982 | 0.1805 | 0.999 | 0.1751 | 0.997 | 0.175 | 7 | 0.994 | 0.6904 | 0.98 | 0.1546 | 0.999 | 0.197 | 0.999 | 0.197 | 8 | 0.994 | 0.6168 | 0.918 | 0.1906 | 0.996 | 0.1462 | 0.999 | 0.146 | 9 | 0.998 | 0.7751 | 1 | 0.1299 | 0.997 | 0.1971 | 1 | 0.197 | 10 | 0.9986 | 0.7634 | 0.994 | 0.1934 | 0.999 | 0.1681 | 1 | 0.168 | 11 | 0.9917 | 1.0033 | 0.998 | 0.2045 | 0.993 | 0.2079 | 1 | 0.208 |
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