Joblib
PeptiVerse / training_classifiers /nf /xgb_wt /optimization_summary.txt
ynuozhang
update code
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MODEL: xgb
Best trial: 173
Best F1 (val @ best-threshold): 0.7334
Val AUC: 0.9369
Val AP: 0.7454
Best threshold (picked on val): 0.3802
Model saved to: /vast/projects/pranam/lab/yz927/projects/Classifier_Weight/training_classifiers/nf/xgb_wt/best_model.json
Best params:
{
"lambda": 1.066966446975405e-06,
"alpha": 0.001029146658309945,
"colsample_bytree": 0.6731752992199499,
"subsample": 0.9108302199853356,
"learning_rate": 0.003652439300609522,
"max_depth": 15,
"min_child_weight": 31,
"gamma": 3.195284861999723,
"num_boost_round": 1472,
"early_stopping_rounds": 165
}
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