biomvRhsmm: Genomic Segmentation with Hidden Semi-Markov Model

Table 3

Area under the ROC curves of simulation 2 data.

	AUC𝑟=1.5	AUC𝑟=1.75	AUC𝑟=2	Weighted avg. rank
hsmm	0.7623442	0.9423881	0.9849165	2.232382
bcp	0.8219388	0.9280808	0.9656302	2.616598
CBS	0.6828102	0.874411	0.954873	5.487906
CGHseg	0.7292456	0.8982693	0.9594827	4.550670
GLAD	0.5418485	0.7366826	0.8971196	6.730182
HaarSeg	0.7728192	0.9114189	0.9786983	2.977933
HMM	0.6243222	0.5872855	0.5259849	7.212695

Weighted avg. rank is calculated as 𝑛+1−∑^𝑗=𝑐_𝑗=1AUC_𝑖×rank^𝑗(AUC_𝑖)/𝑐 for each model 𝑖, where 𝑐 is the number of AUC columns and 𝑛 is the number of competing models.