A computational pipeline for the development of multi-marker bio-signature panels and ensemble classifiers

BMC Bioinformatics

Table 3 Summary of classification performance for the Vote Threshold aggregation method

VOTE THRESHOLD	Sensitivity				Specificity				AUC
	Ensemble classifier	Individual classifiers			Ensemble classifier	Individual classifiers			Ensemble classifier	Individual classifiers
	Ensemble classifier	min	max	average	Ensemble classifier	min	max	average	Ensemble classifier	min	max	average
Ensemble 1	0.82	0.64	0.73	0.68	0.86	0.90	0.95	0.93	0.89	0.73	0.94	0.84
Ensemble 2	0.91	0.55	0.82	0.69	0.76	0.86	1.00	0.93	0.89	0.73	0.96	0.88
Ensemble 3	1.00	0.64	0.73	0.65	0.76	0.81	0.95	0.91	0.90	0.73	0.94	0.88
Ensemble 4	0.91	0.55	0.73	0.64	0.81	0.81	1.00	0.92	0.95	0.83	0.95	0.90
Ensemble 5	1.00	0.55	0.82	0.66	0.62	0.81	1.00	0.92	0.90	0.73	0.96	0.89

Shown is classification performance for the 5 ensembles defined in Table 1 when using the vote threshold aggregation method. Similarly to Table 2, individual classifier performances are included for comparison.

ISSN: 1471-2105