BMC Bioinformatics

Table 4 The performance of the proposed pipeline when applied on CRC1 + 2 dataset, in terms of mean AUC, precision (P), recall (R) and F-measure (F), and their standard deviation

From: Taxonomy-aware feature engineering for microbiome classification

		BL				HFE
		AUC	P	R	F	AUC	P	R	F
DT	Score	0.630	0.625	0.625	0.625	0.588	0.600	0.561	0.566
DT	std.	0.110	0.100	0.140	0.100	0.108	0.116	0.115	0.115
NB	Score	0.647	0.655	0.657	0.654	0.731	0.701	0.654	0.657
NB	std.	0.100	0.090	0.140	0.090	0.164	0.132	0.113	0.113
RF	Score	0.736	0.670	0.667	0.654	0.809	0.753	0.737	0.738
RF	std.	0.110	0.080	0.110	0.080	0.074	0.090	0.091	0.092
Features		count: 19,009				count: 92 mean: 96 std.: 6.633

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ISSN: 1471-2105

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