Yeah, for binary data, you can also use MulticlassClassificationEvaluator
to evaluate other metrics which BinaryClassificationEvaluator doesn't
cover, such as accuracy, f1, weightedPrecision and weightedRecall.
Thanks
Yanbo
On Thu, May 11, 2017 at 10:31 PM, Lan Jiang wrote:
> I realized that in
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 pro