GitHub user sandecho opened a pull request: https://github.com/apache/spark/pull/20709
[SPARK-18844][MLLIB] Adding more binary classification evaluation metrics ## What changes were proposed in this pull request? The following additional binary classification metrics are added. False omission rate: `forByThreshold` False discovery rate: `fdrByThreshold` Negative predictive value: `npvByThreshold` False negative rate: `fnrByThreshold` True negative rate (Specificity): `specificityByThreshold` False positive rate: `fprByThreshold` ## How was this patch tested? Unit Testing [EvaluationMetrics.zip](https://github.com/apache/spark/files/1772914/EvaluationMetrics.zip) You can merge this pull request into a Git repository by running: $ git pull https://github.com/sandecho/spark binary Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/20709.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #20709 ---- commit cb5dce1565edca67a3763b7610137b48545ea998 Author: Sandeep Kumar Choudhary <tssandeepkumarchoudhary@...> Date: 2018-03-01T16:15:12Z Adding more binary classification evaluation metrics ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org