Difference between roc_auc_score() and auc()
- AUC is not always area under the curve of a ROC curve. Area Under the Curve is an (abstract) area under some curve, so it is a more general thing than AUROC. With imbalanced classes, it may be better to find AUC for a precision-recall curve.
def roc_auc_score(y_true, y_score, average="macro", sample_weight=None):
# <...> docstring <...>
def _binary_roc_auc_score(y_true, y_score, sample_weight=None):
# <...> bla-bla <...>
fpr, tpr, tresholds = roc_curve(y_true, y_score,
sample_weight=sample_weight)
return auc(fpr, tpr, reorder=True)
return _average_binary_score(
_binary_roc_auc_score, y_true, y_score, average,
sample_weight=sample_weight)
This first gets a roc curve, and then calls auc() to get the area.
