Finding semantic patterns in omics data using concept rule learning with an ontology-based refinement operator

Table 2 Total runtime [s] and a total number of explored rules of sem1R algorithm for DOT, DISC, and m2801 dataset

Dataset	Feature selection	ACC score		F1 score		AUC score
		Total time	# of rules	Total time	# of rules	Total time	# ofrules
DOT	FS_atLeastOne	303.636	107,964	22.381	26,460	142.302	52,638
	FS_onlySig	235.947	54,167	11.427	9,780	102.760	25,817
	FS_sigAtLeastOne	250.633	107,535	19.813	25,756	115.994	52,136
DISC	FS_atLeastOne	10.737	102,219	8.059	178,346	60.780	609,937
	FS_onlySig	1.777	87,671	1.109	7,223	33.304	67,558
	FS_sigAtLeastOne	1.955	13,041	1.330	11,270	25.861	91,003
m2801	FS_atLeastOne	699.273	461,745	28.087	80,079	168.210	225,081
	FS_onlySig	914.283	340,039	21.594	18,787	148.992	82,456
	FS_sigAtLeastOne	802.176	433,393	18.939	32,054	123.561	124,002

ISSN: 1756-0381