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========================================================================
MODEL: mlp
Best Optuna F1 (objective): 0.5943
Best Optuna AUC (val, recorded): 0.8040
Best Optuna threshold (val): 0.5021
Refit best AUC (val): 0.8200
Refit best F1@thr (val): 0.5863 at thr=0.6002
Best params:
{
"lr": 0.0017734351959882771,
"weight_decay": 0.001657759370673233,
"dropout": 0.3117952292926572,
"batch_size": 16,
"hidden": 256
}
Saved model: /vast/projects/pranam/lab/yz927/projects/Classifier_Weight/training_classifiers/hemolysis/mlp_wt/best_model.pt
======================================================================== |