10.6084/m9.figshare.1245061.v1
Takaya Saito
Takaya
Saito
The Precision-Recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
figshare
2014
roc
precision-recall
machine learning
performance evaluation
imbalanced
classifiers
Bioinformatics
2014-11-19 15:18:14
Dataset
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>
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