Research Article
Fuzzy Boost Classifier of Decision Experts for Multicriteria Group Decision-Making
Table 4
The parameter settings of the CatBoost.
| Parameter | Value |
| Logging level | Silent | Depth | 5 | Learning rate | 0.001 | Custom loss | Accuracy | Eval metric | Accuracy | Bagging temperature | 0.83 | Od type | Iter | RSM | 0.78 | Od wait | 150 | Metric period | 400 | l2-leaf reg | 0 | Thread count | 20 | Random seed | 967 | Iterations | 7 |
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