TABLE II.
LSVT Voice |
Colon Cancer |
Leukemia Cancer |
||
---|---|---|---|---|
Instances | 126 | 62 | 72 | |
Features | 309 | 2,000 | 7,129 | |
SVM-FoBa | No. features | 47 | 29–30 | 30–38 |
Accuracy | 90.48% | 87.10% | 98.61% | |
Sensitivity | 85.71% | 92.50% | 96.00% | |
Specificity | 92.86% | 86.36% | 100% | |
Forward selection | No. features | 83 | 37–39 | 39–43 |
Accuracy | 87.30% | 85.48% | 97.22% | |
Sensitivity | 85.71% | 90.00% | 96.00% | |
Specificity | 90.48% | 77.27% | 100% | |
SVM-RFE | No. features | 67–68 | 31 | 82–84 |
Accuracy | 84.92% | 87.10% | 98.61% | |
Sensitivity | 85.71% | 90.00% | 96.00% | |
Specificity | 86.90% | 86.36% | 100% | |
T-test ranking* | No. features | 47 | 29–30 | 30–38 |
Accuracy | 88.89% | 87.10% | 95.83% | |
Sensitivity | 83.33% | 87.50% | 96.00% | |
Specificity | 91.67% | 86.36% | 95.74% | |
Fisher score ranking* | No. features | 47 | 29–30 | 30–38 |
Accuracy | 88.89% | 87.10% | 95.83% | |
Sensitivity | 80.95% | 87.50% | 96.00% | |
Specificity | 92.86% | 86.36% | 95.74% |
T-Test and Fisher score method used the same number of features with that of SVM-FoBa for equivalent comparisons.
“LSVT Voice Rehabilitation” data set was obtained from the UCI Machine Learning Repository (http://archive.ics.uci.edu/ml/datasets.html).
Descriptions of “Colon Cancer” and “Leukemia Cancer” data can be found at http://www.inf.ed.ac.uk/teaching/courses/dme/html/datasets0405.html.