I realized that in the Spark ML, BinaryClassifcationMetrics only supports AreaUnderPR and AreaUnderROC. Why is that? I
What if I need other metrics such as F-score, accuracy? I tried to use MulticlassClassificationEvaluator to evaluate other metrics such as Accuracy for a binary classification problem and it seems working. But I am not sure if there is any issue using MulticlassClassificationEvaluator for a binary classification. According to the Spark ML documentation "The Evaluator can be a RegressionEvaluator for regression problems, *a BinaryClassificationEvaluator for binary data, or a MulticlassClassificationEvaluator for multiclass problems*. " https://spark.apache.org/docs/2.1.0/ml-tuning.html Can someone shed some lights on the issue? Lan
