From: Using random forest for reliable classification and cost-sensitive learning for medical diagnosis
Dataset | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
---|---|---|---|---|
Sonar | 99% | 53.15% | 44.23% | 23.07% |
 | 95% | 77.89% | 73.07% | 48.07% |
 | 90% | 86.74% | 80.76% | 71.15% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Liver | 99% | 36.28% | 17.56% | 25.31% |
 | 95% | 67.21% | 20.56% | 31.45% |
 | 90% | 79.77% | 36.08% | 58.01% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Pima | 99% | 42.36% | 39.46% | 24.05% |
 | 95% | 69.56% | 44.56% | 28.35% |
 | 90% | 74.71% | 61.97% | 45.12% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Vote | 99% | 87.76% | 83.49% | 80.21% |
 | 95% | 92.87% | 91.75% | 90.72% |
 | 90% | 94.89% | 92.56% | 91.05% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Satellite | 99% | 73.07% | 64.47% | 68.07% |
 | 95% | 87.92% | 85.97% | 88.41% |
 | 90% | 92.28% | 90.72% | 91.76% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Isolet | 99% | 57.95% | 54.87% | 56.95% |
 | 95% | 74.72% | 70.37% | 72.07% |
 | 90% | 87.51% | 81.75% | 82.40% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Soybean | 99% | 73.85% | 54.57% | 63.97% |
 | 95% | 79.32% | 73.45% | 78.83% |
 | 90% | 90.49% | 80.29% | 81.72% |
 | Confidence level | CP-RF | TCM-KNN | TCM-SVM |
Covertype | 99% | 52.74% | 47.82% | 50.42% |
 | 95% | 68.73% | 63.77% | 65.07% |
 | 90% | 76.45% | 72.16% | 73.75% |