Journal of Big Data

Table 22 Results of GB with CoClust for MIMIC-III

From: An enhanced random forest approach using CoClust clustering: MIMIC-III and SMS spam collection application

		Accuracy	OOB error rate (%)	AUROC
Clayton Copula	Cluster 1	0.8125	18.75	0.883
	Cluster 2	0.7625	23.75	0.852
	Cluster 3	0.7611	23.89	0.852
	Cluster 4	0.7614	23.86	0.852
	Cluster 5	0.7584	24.16	0.849
	Cluster 6	0.7579	24.21	0.849
	Cluster 7	0.7600	24.00	0.863
Frank Copula	Cluster 1	0.8125	18.75	0.883
	Cluster 2	0.7614	23.86	0.852
	Cluster 3	0.7589	24.11	0.849
	Cluster 4	0.7584	24.16	0.849
	Cluster 5	0.7579	24.21	0.849
	Cluster 6	0.7600	24.00	0.863
	Cluster 7	0.7528	24.72	0.849

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