Skip to main content

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