Spark ML - Classification Evaluator
See the Spark ML Documentation MulticlassClassificationEvaluator
ml_classification_eval(predicted_tbl_spark, label, predicted_lbl, metric = "f1")
- A tbl_spark object that contains a columns with predicted labels
- Name of the column that contains the true, indexed label. Support for binary and multi-class labels, column should be of double type (use as.double)
- Name of the column that contains the predicted label NOT the scored probability. Support for binary and multi-class labels, column should be of double type (use as.double)
- A classification metric, one of: f1 (default), precision, recall, weightedPrecision, weightedRecall, accuracy
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