BMC Bioinformatics

Table 15 Confusion matrix for performance of the trained Resnet-101 individual models and the Resnet101-9 ensemble model in classifying images in the preliminary test set as ALL or Normal classes

From: Classifying microscopic images as acute lymphoblastic leukemia by Resnet ensemble model and Taguchi method

Model			Actual classes
Model			ALL	Normal
Resnet-101-8249	Predicted classes	ALL	1095	203
Resnet-101-8249	Predicted classes	Normal	124	445
Resnet-101-8184	Predicted classes	ALL	1047	167
Resnet-101-8184	Predicted classes	Normal	172	481
Resnet-101-8452	Predicted classes	ALL	1114	184
Resnet-101-8452	Predicted classes	Normal	105	464
Resnet-101-8125	Predicted classes	ALL	1078	209
Resnet-101-8125	Predicted classes	Normal	141	439
Resnet-101-8061	Predicted classes	ALL	1030	173
Resnet-101-8061	Predicted classes	Normal	189	475
Resnet-101-8281	Predicted classes	ALL	1114	216
Resnet-101-8281	Predicted classes	Normal	105	432
Resnet-101-8307	Predicted classes	ALL	1090	187
Resnet-101-8307	Predicted classes	Normal	129	461
Resnet-101-8002	Predicted classes	ALL	1032	186
Resnet-101-8002	Predicted classes	Normal	187	462
Resnet-101-8216	Predicted classes	ALL	1099	213
Resnet-101-8216	Predicted classes	Normal	120	435
Resnet101-9 ensemble	Predicted classes	ALL	1118	177
Resnet101-9 ensemble	Predicted classes	Normal	101	471

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ISSN: 1471-2105

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