Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/12882#discussion_r62160186
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/evaluation/MulticlassMetrics.scala
---
@@ -138,24 +138,30 @@ class MulticlassMetrics @Since("1.1.0")
(predictionAndLabels: RDD[(Double, Doubl
/**
* Returns precision
*/
- @Since("1.1.0")
+ @deprecated("Use accuracy. This metric will be removed in 2.1.0.",
"2.0.0")
lazy val precision: Double = tpByClass.values.sum.toDouble / labelCount
/**
* Returns recall
- * (equals to precision for multiclass classifier
+ * (equals to accuracy for multiclass classifier
* because sum of all false positives is equal to sum
* of all false negatives)
*/
@Since("1.1.0")
- lazy val recall: Double = precision
+ lazy val recall: Double = accuracy
--- End diff --
Hm, I think we need to deprecate `recall` for the same reason.
You can leave the comment alone, because the logic it gives explains why it
would be equal to precision and not accuracy.
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