We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent 321b751 commit 8cc0094Copy full SHA for 8cc0094
imblearn/metrics/_classification.py
@@ -395,8 +395,8 @@ def specificity_score(
395
"""Compute the specificity
396
397
The specificity is the ratio ``tn / (tn + fp)`` where ``tn`` is the number
398
- of true negatives and ``fn`` the number of false negatives. The specificity
399
- quantifies the ability to avoid false positives_[1].
+ of true negatives and ``fp`` the number of false positives. The specificity
+ quantifies the ability to avoid false positives.
400
401
The best value is 1 and the worst value is 0.
402
0 commit comments