Classification on MSRC
68.45AccuracyJUICE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| JUICEEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 68.45 | 70.68 | |
| DFISEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 53.21 | 53.92 | |
| sCOs2Evaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 50.6 | 50.69 | |
| SCMDEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 49.88 | 49.4 | |
| C2INEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 48.33 | 48.03 | |
| UFIEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 41.43 | 40.16 | |
| UKMCEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 40.24 | 40.88 | |
| TIMCEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 38.11 | 38.38 | |
| TERNEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 34.52 | 37.04 | |
| UIMDEvaluator=SVM, Feature selection ratio=20%, Instance selection ratio=20%, Missing data ratio=40%2025.12 | 31.55 | 30.72 |