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<p>Great post!</p>
<p>I wanted to mention that although many previous studies have used the area under receiver operating characteristic curve (auROC) statistic to benchmark the precision, it misleads evaluators when the test data is (highly) imbalanced see: PLOS One, 10(3):e0118432, 2015 &amp; bioRxiv, 2017 doi: 10.1101/142760</p>
<p>In my field (bioinformatics), ENCODE’s DREAM-Challenge recommends reporting both auROC, which assess false negative predictions and the area under precision-recall curve (auPR), which also assesses false positives (see: ENCODE-DREAM in vivo Transcription Factor Binding Site Prediction Challenge. <a rel="nofollow" href="https://synapse.org/encode," target="_blank">https://synapse.org/encode,</a> 2017. Accessed: 2018–01–31)</p>
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