BMC Bioinformatics

Table 5 Confusion matrix for 2D HeLa cell (A) and 3D HeLa cell (B) images using optimal majority-voting ensemble classifier with feature set SLF16 (A) and SLF10 (B) respectively. (Due to rounding, each row may not sum to 100). The average accuracy was 92.3% for 2D images (A) and 95.8% for 3D images (B).

From: Boosting accuracy of automated classification of fluorescence microscope images for location proteomics

A)
	DNA	ER	Gia	Gpp	Lam	Mit	Nuc	Act	TfR	Tub
DNA	98.9	1.2	0	0	0	0	0	0	0	0
ER	0	96.5	0	0	0	2.3	0	0	0	1.2
Gia	0	0	90.8	6.9	0	0	0	0	2.3	0
Gpp	0	0	14.1	82.4	0	0	2.4	0	1.2	0
Lam	0	0	1.2	0	88.1	1.2	0	0	9.5	0
Mit	0	2.7	0	0	0	91.8	0	0	2.7	2.7
Nuc	0	0	0	0	0	0	98.8	0	1.3	0
Act	0	0	0	0	0	0	0	100	0	0
TfR	0	1.1	0	0	12.1	2.2	0	1.1	81.3	2.2
Tub	1.1	2.2	0	0	0	1.1	0	0	1.1	94.5
B)
	Cyt	DNA	ER	Gia	Gpp	Lam	Mit	Nuc	Act	TfR	Tub
Cyt	100	0	0	0	0	0	0	0	0	0	0
DNA	0	98.1	0	0	0	0	0	1.9	0	0	0
ER	0	0	96.6	0	0	0	0	0	1.7	0	1.7
Gia	0	0	0	98.2	0	1.9	0	0	0	0	0
Gpp	0	0	0	4	96.0	0	0	0	0	0	0
Lam	0	0	0	1.8	1.8	96.4	0	0	0	0	0
Mit	0	0	0	3.5	0	0	94.7	0	1.8	0	0
Nuc	0	0	0	0	0	0	0	100	0	0	0
Act	0	0	1.7	0	0	0	1.7	0	94.8	1.7	0
TfR	0	0	0	0	0	5.7	3.8	0	1.9	84.9	3.8
Tub	0	0	3.7	0	0	0	0	0	0	1.9	94.4

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