Advances, Systems and Applications
Table 5 Results gained by the SVM model
Results for Output Field Label | ||||
|---|---|---|---|---|
Comparing $R-Label with Label | ||||
Partition | 1_Training | 2_Testing | ||
Correct | 74496 | 82.61% | 38512 | 99.72% |
Wrong | 15683 | 17.39% | 108 | 0.28% |
Total | 90179 | 38620 | ||
Confidence Values Report for $RC-Label | ||||
“Partition” = 1_Training | ||||
Range | 0.452–1.0 | |||
Mean Correct | 0.741 | |||
Mean Incorrect | 0.459 | |||
Always Correct Above | 0.907 (0.34% of the cases) | |||
Always Incorrect Below | 0.252 (0% of the cases) | |||
99.78% Accuracy Above | 0.0 | |||
2.0 Fold Correct Above | 0.637 (82.61% of the cases) | |||
“Partiotion” = 2_Testing | ||||
Range | 0.452–1.0 | |||
Mean Correct | 0.952 | |||
Mean Incorrect | 0.649 | |||
Always Correct Above | 0.789 (0.76% of the cases) | |||
Always Incorrect Below | 0.368 (0% of the cases) | |||
99.78% Accuracy Above | 0.0 | |||
2.0 Fold Correct Above | 0.779 (99.72% of the cases) | |||