DOC Long sentence was hard to parse and ambiguous in _classification.py
@@ -1842,10 +1842,10 @@ 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.
