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Benchmarking machine learning models for the analysis of genetic data using FRESA.CAD Binary Classification Benchmarking

2019-08-13

Abstract excerpt

<h4>Background</h4> Machine learning models have proven to be useful tools for the analysis of genetic data. However, with the availability of a wide variety of such methods, model selection has become increasingly difficult, both from the human and computational perspective. <h4>Results</h4> We present the R package FRESA.CAD Binary Classification Benchmarking that performs systematic comparisons between a coll...

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Literature Corpus work: 0ab1edd6-8dfa-5d9a-9e5c-f8eb4ce16a55
DOI: 10.1101/733675

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