Research Article
Online Sequential Projection Vector Machine with Adaptive Data Mean Update
Table 12
Training and testing accuracy of PVM and OSPVM with the same hidden nodes.
| Dataset | Algorithms | #Hidden nodes | Training accuracy | Testing accuracy |
| Face | OSPVM (1-by-1 and 16-by-16) | 65 | 99.81% | 92.30% | Batch-PVM | 65 | 99.81% | 92.30% |
| Secom | OSPVM (1-by-1 and 16-by-16) | 60 | 93.37% | 93.35% | Batch-PVM | 60 | 93.37% | 93.35% |
| Arcene | OSPVM (1-by-1 and 16-by-16) | 85 | 94.63% | 90.80% | Batch-PVM | 85 | 94.63% | 90.80% |
| Dexter | OSPVM (1-by-1 and 16-by-16) | 160 | 98.38% | 91.25% | Batch-PVM | 160 | 98.38% | 91.25% |
| Multi.fea. | OSPVM (1-by-1 and 16-by-16) | 160 | 99.98% | 95.67% | Batch-PVM | 160 | 99.98% | 95.67% |
| News20 | OSPVM (1-by-1 and 16-by-16) | 1000 | 84.89% | 83.12% | Batch-PVM | 1000 | 84.89% | 83.12% |
| Sector | OSPVM (1-by-1 and 16-by-16) | 160 | 87.98% | 79.01% | Batch-PVM | 160 | 87.98% | 79.01% |
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