BMC Bioinformatics

Table 2 Classification results on the public CyTOF data

From: Joint deep learning for batch effect removal and classification toward MALDI MS based metabolomics

	Source	Target
		Before calibration		After calibration
		Day 1	Day 2	Day 1	Day 2
Patient 1
ACC	Day 1	0.962	0.939	0.962	0.951
	Day 2	0.947	0.961	0.964	0.961
F-score	Day 1	0.931	0.885	0.931	0.909
	Day 2	0.907	0.931	0.935	0.931
AUC	Day 1	0.962	0.911	0.962	0.928
	Day 2	0.958	0.961	0.968	0.961
MCC	Day 1	0.906	0.845	0.906	0.877
	Day 2	0.875	0.904	0.911	0.904
Patient 2
ACC	Day 1	0.985	0.973	0.985	0.975
	Day 2	0.973	0.982	0.978	0.982
F-score	Day 1	0.939	0.901	0.939	0.905
	Day 2	0.895	0.934	0.908	0.934
AUC	Day 1	0.976	0.951	0.976	0.937
	Day 2	0.963	0.966	0.947	0.966
MCC	Day 1	0.931	0.885	0.931	0.891
	Day 2	0.881	0.924	0.895	0.924

When the source and target indices are the same, the reported metrics are for the in-batch classification by tenfold cross-validation

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ISSN: 1471-2105

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