Original paper

ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data

Volume: 9, Issue: 4
Published: Apr 1, 2020
Abstract
Background Classification algorithms assign observations to groups based on patterns in data. The machine-learning community have developed myriad classification algorithms, which are used in diverse life science research domains. Algorithm choice can affect classification accuracy dramatically, so it is crucial that researchers optimize the choice of which algorithm(s) to apply in a given research domain on the basis of empirical evidence. In...
Paper Details
Title
ShinyLearner: A containerized benchmarking tool for machine-learning classification of tabular data
Published Date
Apr 1, 2020
Volume
9
Issue
4
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