Model performance parameters | DL neural models | ||
---|---|---|---|
VGG19_bn | Squeezenet | ResNet-18 | |
Validation entropy loss | 0.054 | 0.057 | 0.079 |
Validation accuracy | 0.98 | 0.98 | 0.97 |
Validation weighted accuracy | 0.98 | 0.98 | 0.97 |
Validation weighted precision | 0.98 | 0.98 | 0.97 |
Validation weighted recall | 0.98 | 0.98 | 0.97 |
Validation weighted f1 | 0.98 | 0.98 | 0.97 |
Median test set accuracy | 0.94 | 0.92 | 0.9 |
Slide level test set AUC | 1 | 1 | 1 |
Training time (in min) (15 epochs) | 217 | 120 | 151 |