BMC Medical Informatics and Decision Making

Table 3 Gradient boosting machine error metrics for patient group membership classification on frequent subgraphs

From: Unsupervised phenotyping of sepsis using nonnegative matrix factorization of temporal trends from a multivariate panel of physiological measurements

Measure	Split	Subgroup
Measure	Split	1	2	3
Precision	Train	0.987	0.981	0.988
Precision	Test	0.917	0.889	0.939
Recall	Train	0.978	0.984	0.990
Recall	Test	0.835	0.921	0.951
F-score	Train	0.982	0.983	0.989
F-score	Test	0.874	0.905	0.945
AUC	Train	0.954	0.964	0.977
	Test	0.891	0.914	0.944

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ISSN: 1472-6947

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