Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/13390#discussion_r65011713
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/evaluation/MulticlassClassificationEvaluator.scala
---
@@ -41,6 +41,10 @@ class MulticlassClassificationEvaluator @Since("1.5.0")
(@Since("1.5.0") overrid
/**
* param for metric name in evaluation (supports `"f1"` (default),
`"precision"`, `"recall"`,
* `"weightedPrecision"`, `"weightedRecall"`, `"accuracy"`)
+ * Note: `"f1"` here means weighted averaged f1-measure, while the
`fMeasure` in
--- End diff --
Also, fMeasure isn't a supported value here? or do I miss it? f1 is a
measure. Here again I wonder if it's worth documenting it, since f1 / precision
/ recall are deprecated.
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