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AUC in rapidminer results in 0
I have a dataset with 2 columns, the first one is label and the second column is prediction i.e. i have stored results of my algorithm in a column and now i want to evaluate performance of that algorithm with rapidminer. i have imported data and specified the columns as label and prediction and evaluating the performance using binomial classification performance evaluation. it gives correct results on confusion matrix and f-measure but in AUC it shows 0. Please suggest me how should i use rapidminer to get the correct AUC score on my data.