Skip to main content

Table 12 Classification accuracy, precision, recall, specificity, and F1-score obtained by trained Resnet-101 individual models and by the Resnet101-5 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 0.716 0.8852
Resnet-101-8125 0.8125 0.8376 0.8843 0.6775 0.8603
Resnet-101-8061 0.8061 0.8562 0.845 0.733 0.8505
Resnet101-5 ensemble 0.8436 0.8641 0.9024 0.733 0.8828