The Precision-Recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets Takaya Saito 10.6084/m9.figshare.1245061.v1 https://figshare.com/articles/dataset/The_Precision_Recall_plot_is_more_informative_than_the_ROC_plot_when_evaluating_binary_classifiers_on_imbalanced_datasets/1245061 <p>T1 and T2 data for the re-analysis of the MiRFinder study.</p> <p><strong>testdata.tar.bz2</strong>: it contains the test datasets for T1 and T2. Both T1 and T2 consist of positive and negative datasets separately.</p> <p><strong>predictiondata.tar.bz2</strong>: It contains the prediction data of five different miRNA gene prediction algorithms.</p> <p> </p> <p> </p> 2014-11-19 15:18:14 roc precision-recall machine learning performance evaluation imbalanced classifiers Bioinformatics