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Table 1.
Feature importances for RF and BDT algorithms.
| Feature | RF: 50, 6 | BDT: 100, 2 |
|---|---|---|
| ln(Signif_Curve) | 0.331 | 0.518 |
| HR45 | 0.137 | 0.071 |
| ln(Unc_Energy_Flux100) | 0.122 | 0.050 |
| ln(Variability_Index) | 0.098 | 0.225 |
| ln(Energy_Flux100) | 0.071 | 0.019 |
| 500MeV_Index | 0.065 | 0.028 |
| HR23 | 0.062 | 0.052 |
| HR12 | 0.052 | 0.012 |
| HR34 | 0.025 | 0.005 |
| GLAT | 0.017 | 0.002 |
| GLON | 0.014 | 0.011 |
Notes. RF algorithm: 50 trees with maximal depth 6; BDT algorithm: 100 trees with maximal depth 2. The features are ordered by decreasing importance in the case of the RF algorithm.
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