Spark ML - Binary Classification Evaluator
See the Spark ML Documentation BinaryClassificationEvaluator
ml_binary_classification_eval(predicted_tbl_spark, label, score,
metric = "areaUnderROC")Arguments
| predicted_tbl_spark | The result of running sdf_predict |
| label | Name of column string specifying which column contains the true, indexed labels (ie 0 / 1) |
| score | Name of column contains the scored probability of a success (ie 1) |
| metric | The classification metric - one of: areaUnderRoc (default) or areaUnderPR (not available in Spark 2.X) |
Value
area under the specified curve