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Table 10 Classification accuracy, precision, recall, specificity, and F1-score obtained by trained Resnet-101 individual models and by the Resnet101-3 ensemble model for the preliminary test set

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

Model

Accuracy

Precision

Recall

Specificity

F1-score

Resnet-101-8249

0.8249

0.8436

0.8983

0.6867

0.8701

Resnet-101-8184

0.8184

0.8624

0.8589

0.7423

0.8607

Resnet-101-8452

0.8452

0.8582

0.9139

0.7160

0.8852

Resnet101-3 ensemble

0.8409

0.8585

0.9057

0.7191

0.8814

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BMC Bioinformatics

ISSN: 1471-2105

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