Research Article

Smooth Diagonal Weighted Newton Support Vector Machine

Table 4

Comparisons with various algorithms.

AlgorithmAssessment indexes
ArmijoIterationsTimeTraining accu. Testing accu.

SSVM Bupa ( )
 Linear14.10.0170.11%68.08%
04.30.0170.08%67.83%
 Kernel120.21100%60.36%
020.20100%60.29%
SDWNSVM Bupa ( )
 Linear14.10.0171.60%70. 19%
04.30.0171.37%69.56%
 Rough 120.21100%60.18%
020.20100%60.57%
 Exact 13.30.73100%61.12%
03.60.67100%60.91%
SSVM Pima ( )
 Linear14.30.0178.02%77.34%
04.30.0177.89%77.21 %
 Kernel123.38100%65.11%
023.12100%65.09%
SDWNSVM Pima ( )
 Linear14.30.0178.14%77.48%
04.30.0178.11%77.47%
 Rough 122.99100%65.11%
022.99100%65.19%
 Exact 122.99100%65.11%
022.99100%65.19%