fig6
From: Kinship classification from a machine learning perspective: a pilot study based on genotyping data
Figure 6. ROC curves and learning curves of the top four optimal models based on IBD, IBS+LR, IBD+LR, and all features. (A-D) show the ROC curves of the top four optimal models based on feature combinations of IBD, IBS+LR values, IBD+LR values, and all features, and AUC values of the one vs. rest classifiers for each class are listed in the bottom right corner; (E-H) display the learning curves of the optimal models based on feature combinations of IBD, IBS+LR values, IBD+LR values, and all features. IBD: Identity-by-descent; IBS: identity-by-state; LR: likelihood ratio; 2ND: 2nd-degree relatives; FS: full siblings; PO: parent-offspring; ROC: receiver operating characteristic; AUC: area under the curve; UN: unrelated individuals.
