fig8
From: Kinship classification from a machine learning perspective: a pilot study based on genotyping data
Figure 8. Normalized confusion matrices based on the thresholding method and four machine learning models with better performance under kinship multi-classification tasks in the modeling set. (A and B) are confusion matrices of single-threshold and dual-threshold methods; (C-F) show the confusion matrices of the top four optimal models based on IBD, IBS+LR, IBD+LR, and all features, respectively. IBD: Identity-by-descent; IBS: identity-by-state; LR: likelihood ratio; ML: machine learning; FS: full siblings; PO: parent-offspring; 2ND: 2nd-degree relatives; UN: unrelated individuals.
