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testing_study_config.json - sk prefix #38

@valosekj

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@valosekj

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)?

"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:

def sk_balanced_accuracy(manager: OptunaModelManager, x: BaseDataManager, y: BaseDataManager):

def sk_precision_perclass(manager: OptunaModelManager, x: BaseDataManager, y: BaseDataManager):

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