Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8304#discussion_r37439902
--- Diff: docs/ml-guide.md ---
@@ -710,9 +717,12 @@ val pipeline = new Pipeline()
// We now treat the Pipeline as an Estimator, wrapping it in a
CrossValidator instance.
// This will allow us to jointly choose parameters for all Pipeline stages.
// A CrossValidator requires an Estimator, a set of Estimator ParamMaps,
and an Evaluator.
+// Note that the evaluator here is a BinaryClassificationEvaluator and the
default metric
--- End diff --
nit: "default metric used is areaUnderROC" -> "default areaUnderROC metric
is used"
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