HIGHLIGHTS
- who: M.L. Bermingham from the University of have published the research: Application of high-dimensional feature selection: evaluation for genomic prediction in man, in the Journal: Scientific Reports Scientific Reports
- what: The authors compared five different feature selection algorithms with respect to prediction accuracy in 10 fold cross-validation. The authors examine the predictive performance of three models.
- how: The authors compared the derived models in terms of the numbers of features required to maximize prediction accuracy. To assess the ability of the models trained on Croatian data to predict into a . . .
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