Assessing Outlier Probabilities in Transcriptomics Data When Evaluating a Classifier
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DOI: 10.3390/genes14020387
Abstract: Outliers in the training or test set used to fit and evaluate a classifier on transcriptomics data can considerably change the estimated performance of the model. Hence, an either too weak or a too optimistic… read more here.
Keywords: classifier; outlier probabilities; probabilities transcriptomics; transcriptomics data ... See more keywords