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Table 6.
Testing accuracy of the algorithms for the associated 4FGL-DR2 sources.
| Algorithm | Parameters | Testing | Std. Dev. |
|---|---|---|---|
| accuracy | |||
| RF | 50 trees, max depth 6 | 97.87 | 0.36 |
| RF_O | 97.56 | 0.39 | |
| BDT | 100 trees, max depth 2 | 97.63 | 0.39 |
| BDT_O | 97.72 | 0.38 | |
| NN | 300 epochs, 16 neurons, LBFGS | 97.41 | 0.47 |
| NN_O | 95.48 | 0.66 | |
| LR | 200 iterations, LBFGS solver | 97.80 | 0.38 |
| LR_O | 96.03 | 0.53 | |
Notes. “_O” denotes training with oversampling.
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