Table 7 Confusion matrix calculations of xception deep learning approach.
From: Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images
Ensemble model:normal | Ensemble Model: Meningioma | Ensemble Model:Glioma | Ensemble Model: Pituitary | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total SampleN= 750 | Predicted | Total SampleN= 750 | Predicted | Total SampleN= 750 | Predicted | Total SampleN= 750 | Predicted | ||||||||
+VE | +VE | +VE | +VE | +VE | +VE | +VE | +VE | ||||||||
Training | |||||||||||||||
Actual | +VE 800 | TP 787 | FN 13 | Actual | +VE 800 | TP752 | FN 48 | Actual | +VE 800 | TP791 | FN 9 | Actual | +VE 800 | TP794 | FN 6 |
-VE 950 | FP 22 | TN 928 | -VE 950 | FP 74 | TN 876 | -VE 950 | FP 26 | TN 924 | -VE 950 | FP 29 | TN 921 | ||||
validation | |||||||||||||||
Actual | +VE 350 | TP 331 | FN 19 | Actual | +VE 350 | TP 343 | FN 17 | Actual | +VE 350 | TP 344 | FN 6 | Actual | +VE 350 | TP 342 | FN 8 |
-VE 400 | FP 26 | TN 374 | -VE 400 | FP 8 | TN 392 | -VE 400 | FP 16 | TN 384 | -VE 400 | FP 14 | TN 386 | ||||
