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Comparison of best prediction accuracy for the lung cancer dataset.
| Methods (feature selection + classification) | # Selected genes | # Correctly-classified samples (accuracy) |
|---|---|---|
| α depended degree + decision rules | 1 | 33 (85%) |
| [this work] | 2 | 32 (82%) |
| HFW + C4.520 | 12 | 35 (90%) |
| HFW + NaiveBayes20 | 18 | 35 (90%) |
| FCBF + C4.520 | 12 | 31 (79%) |
| FCBF + NaiveBayes20 | 12 | 24 (62%) |
| CFS-SF + C4.520 | 13 | 26 (67%) |
| CFS-SF + NaiveBayes20 | 13 | 24 (62%) |
| ReliefF + C4.520 | 12 | 24 (62%) |
| ReliefF + NaiveBayes20 | 18 | 25 (64%) |
