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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Evaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES)

Fig. 2

Comparison of a AUCs and b AUPRCs of RF, Boosting, and Bagging methods with oversampling algorithms on test datasets. CAVAS, Cardiovascular Disease Association Study; KARE, Korea Association Resource Study; HEXA, Health Examinees Study; AUC, area under the curve; AUPRC, area under the precision-recall curve; SNP, single-nucleotide polymorphism; RF, random forest; MWMOTE, majority weighted minority oversampling technique; RWO, random walk oversampling; SMOTE, synthetic minority oversampling technique

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BMC Bioinformatics

ISSN: 1471-2105

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