ml_binary_classification_eval
From sparklyr v0.4
by Javier Luraschi
Spark ML - Binary Classification Evaluator
See the Spark ML Documentation BinaryClassificationEvaluator
Usage
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
Value
area under the specified curve
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