Fig. 1From: Evaluation of penalized and machine learning methods for asthma disease prediction in the Korean Genome and Epidemiology Study (KoGES)Comparison of a AUCs and non-zero estimate parameters of SNPs, and b AUPRCs for ridge and Lasso predictions using 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; Lasso, least absolute shrinkage and selection operatorBack to article page