BMC Bioinformatics

Table 4 Weighted error comparison

From: Hierarchical classification strategy for Phenotype extraction from epidermal growth factor receptor endocytosis screening

1st step	knnc		ldc		qdc		neurc		svc
C-V	mean	std	mean	std	mean	std	mean	std	mean	std
B&B	0.0053	0.0011	0.0061	0.0038	0.0059	0.0028	0.0061	0.0029	0.0061	0.0038
IND	0.0058	0.0023	0.0061	0.0038	0.0059	0.0028	0.0055	0	0.0057	0.0014
2nd step	knnc		ldc		qdc		neurc		svc
C-V	mean	std	mean	std	mean	std	mean	std	mean	std
B&B	0.0214	0.0031	0.0321	0.0011	0.056	0.0019	0.0231	0.0048	0.0214	0.002
IND	0.0261	0	0.0267	0	0.0607	0	0.0214	0.0021	0.0261	0
1st step	knnc		ldc		qdc		neurc		svc
VAR	mean	std	mean	std	mean	std	mean	std	mean	std
B&B	0.0053	0.0011	0.0061	0.0038	0.0059	0.0028	0.0055	0.0018	0.0061	0.0038
IND	0.0058	0.0023	0.0061	0.0038	0.0059	0.0028	0.0056	0	0.0058	0.0019
2nd step	knnc		ldc		qdc		neurc		svc
VAR	mean	std	mean	std	mean	std	mean	std	mean	std
B&B	0.0237	0.0044	0.0319	0.0015	0.0563	0.0027	0.0236	0.0069	0.0218	0.0028
IND	0.0263	0	0.0272	0.0029	0.0598	0.004	0.0218	0.004	0.0265	0.001

C-V represents c-variance
B&B represents branch & bound
IND represents individual
VAR represents variance

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