Research Article
An ISVM Algorithm Based on High-Dimensional Distance and Forgetting Characteristics
Table 5
The comparison of classification performance of the four algorithms for “image.”
| Iteration count | Simple-ISVM | KKT-ISVM | CSV-ISVM | HDFC-ISVM | ACC | Time (s) | ACC | Time (s) | ACC | Time (s) | ACC | Time (s) |
| 1 | 1 | 0.071 | 1.000 | 0.163 | 0.998 | 0.088 | 0.986 | 0.107 | 2 | 0.94 | 0.134 | 0.938 | 0.197 | 0.998 | 0.098 | 0.962 | 0.104 | 3 | 0.976 | 0.270 | 0.968 | 0.166 | 0.998 | 0.157 | 0.977 | 0.122 | 4 | 0.976 | 0.175 | 0.950 | 0.121 | 0.996 | 0.150 | 0.985 | 0.105 | 5 | 0.982 | 0.217 | 0.934 | 0.134 | 1 | 0.164 | 0.989 | 0.134 | 6 | 0.982 | 0.291 | 0.948 | 0.142 | 0.998 | 0.116 | 0.985 | 0.172 | 7 | 0.98 | 0.197 | 0.956 | 0.146 | 0.996 | 0.099 | 0.992 | 0.130 | 8 | 0.998 | 0.299 | 0.950 | 0.167 | 0.998 | 0.117 | 0.989 | 0.154 | 9 | 0.998 | 0.331 | 0.948 | 0.145 | 1 | 0.115 | 0.996 | 0.171 | 10 | 0.99 | 0.289 | 0.985 | 0.181 | 0.998 | 0.156 | 0.992 | 0.158 | 11 | 0.992 | 0.299 | 0.979 | 0.140 | 0.998 | 0.152 | 0.993 | 0.121 | 12 | 0.996 | 0.259 | 0.976 | 0.146 | 0.998 | 0.150 | 0.999 | 0.147 |
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