Skip to main content
Fig. 3 | BMC Bioinformatics

Fig. 3

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

Fig. 3

Bar plots showing the computing times for athma prediction methods in the a CAVAS cohort, b KARE cohort, and c HEXA cohort. CAVAS, Cardiovascular Disease Association Study; KARE, Korea Association Resource Study; HEXA, Health Examinees Study; SNP, single-nucleotide polymorphism; Lasso, least absolute shrinkage and selection operator; Enet, elastic net; SCAD, smoothly clipped absolute deviation; SVM, support vector machines; RF, random forest; NB, naïve Bayes; KNN, k-nearest neighbor classification

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us