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Description
How come some metrics in testing_study_config.json
start with the sk
prefix (e.g., sk_precision_perclass
) but some not (e.g., balanced_accuracy)?
modular_optuna_ml/testing/testing_study_config.json
Lines 16 to 22 in 5629ad3
"test": [ | |
"balanced_accuracy", | |
"log_loss", | |
"sk_precision_perclass", | |
"sk_recall_perclass", | |
"sk_f1_perclass", | |
"correct_samples", |
In study/metrics.py
, all metrics start with sk
:
modular_optuna_ml/study/metrics.py
Line 24 in 5629ad3
def sk_balanced_accuracy(manager: OptunaModelManager, x: BaseDataManager, y: BaseDataManager): |
modular_optuna_ml/study/metrics.py
Line 42 in 5629ad3
def sk_precision_perclass(manager: OptunaModelManager, x: BaseDataManager, y: BaseDataManager): |
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