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Fig. 6 | Journal of Translational Medicine

Fig. 6

From: Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection

Fig. 6

Feature selection stability and selection of the most stable genomic variants. A Bar-plots showing the reliability of the feature selection process by visualizing the extent to which the same features were chosen repeatedly across multiple iterations of cross-validation, shown as a percentage of overlap in the top K selected features. B Features that are selected more than 5 times across 10-CV and total number of selected features across the same runs. C Genomic variants that are consistently recognized as significant by different feature selection techniques and are deemed to have a significant impact on the results by all methods used are selected in order to define a small set of novel SNPs for CAD risk prediction

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