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%