Research Article
A Path-Based Feature Selection Algorithm for Enterprise Credit Risk Evaluation
Table 2
AUC score (%) comparison for three datasets
| | Ours | FS-RRC | mIMR | mRMR | RCDFS | FCBF |
| SMB | k = 20 | 75.26 | 75.85 | 76.31 | 76.05 | 74.42 | 75.59 | k = 40 | 81.73 | 81.12 | 78.21 | 79.52 | 80.09 | 79.93 | k = 80 | 83.75 | 83.23 | 78.86 | 82.10 | 82.93 | 78.95 | GEM | k = 20 | 76.47 | 77.28 | 75.10 | 72.53 | 76.61 | 73.42 | k = 40 | 82.30 | 81.74 | 78.51 | 80.95 | 80.53 | 79.52 | k = 80 | 82.89 | 79.63 | 78.95 | 81.76 | 80.58 | 81.37 | STAR | k = 20 | 78.37 | 76.25 | 73.97 | 75.48 | 78.79 | 78.29 | k = 40 | 81.99 | 80.92 | 79.37 | 80.22 | 80.79 | 78.56 | k = 80 | 82.62 | 82.10 | 81.11 | 80.96 | 81.73 | 78.97 |
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