jmvllt wrote > Here, because the predicted class will always be 0 or 1, there is no way > to vary the threshold to get the aucROC, right ???? Or am I totally wrong > ?
No, you are right. If you pass a (Score,Label) tuple to BinaryClassificationMetrics, then Score has to be the class probability. Have you seen the clearThreshold function? spark_docu wrote > Clears the threshold so that predict will output raw prediction scores. https://spark.apache.org/docs/1.5.1/api/scala/index.html#org.apache.spark.mllib.classification.LogisticRegressionModel You probably need to call it before the predict call. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Is-it-relevant-to-use-BinaryClassificationMetrics-aucROC-aucPR-with-LogisticRegressionModel-tp25465p25473.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
