Research Article
Succinylation Site Prediction Based on Protein Sequences Using the IFS-LightGBM (BO) Model
Table 8
Hyperparameter optimization results of IFS-LightGBM (BO).
| Hyperparameters | Meanings | Search ranges | Optimal values |
| learning_rate | Learning rate | (0.01, 1.0) | 0.0274 | max_depth | Maximum depth of the tree | (1, 50) | 20 | max_bin | The max number of bins that feature values will be bucketed in | (10, 100) | 10 | reg_alpha | L1 regularization | (1-9, 1.0) | 0.9647 | boosting_type | Training method | gbdt; goss; rf; dart | goss | num_leaves | Number of leaf nodes | (1, 50) | 11 | n_estimators | Number of iterations | (100, 600) | 600 |
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