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Dec 6, 2019
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8 changes: 4 additions & 4 deletions sklearn/metrics/_classification.py
Original file line number Diff line number Diff line change
Expand Up @@ -1916,10 +1916,10 @@ def classification_report(y_true, y_pred, labels=None, target_names=None,

The reported averages include macro average (averaging the unweighted
mean per label), weighted average (averaging the support-weighted mean
per label), sample average (only for multilabel classification) and
micro average (averaging the total true positives, false negatives and
false positives) it is only shown for multi-label or multi-class
with a subset of classes because it is accuracy otherwise.
per label), and sample average (only for multilabel classification).
Micro average (averaging the total true positives, false negatives and
false positives) is only shown for multi-label or multi-class
with a subset of classes, because it corresponds to accuracy otherwise.
See also :func:`precision_recall_fscore_support` for more details
on averages.

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