Research Article
Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level
Table 4
Classification accuracies of competitors using different number of training iterations.
| Dataset | Adaboost | Bagging | RSM | Iter = 50 | Iter = 100 | Iter = 150 | Iter = 50 | Iter = 100 | Iter = 150 | Iter = 50 | Iter = 100 | Iter = 150 |
| IRIS | 100 | 97.8 | 97.8 | 100 | 97.8 | 100 | 100 | 100 | 100 | DiaretDB | 91.92 | 92.35 | 92.35 | 97.68 | 97.9 | 97.68 | 97.24 | 97.1 | 97 | Satimage | 76.1 | 77.1 | 78.1 | 91.25 | 91.5 | 91.7 | 90.99 | 90 | 90 | Heart | 67.5 | 67.5 | 66.3 | 62.5 | 62.5 | 63.8 | 68.8 | 68.8 | 68.8 | Pima Indian Diabetes | 75.37 | 74.08 | 76.53 | 77.48 | 77.51 | 78.01 | 76.34 | 77.6 | 76.34 | German | 72 | 72.33 | 71.1 | 73.1 | 72.4 | 72.67 | 72.7 | 72.3 | 72 |
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