Table 9 Confusion matrix calculation of Xcepion 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 800 | FN 0 | Actual | +VE 800 | TP760 | FN 20 | Actual | +VE 800 | TP800 | FN 0 | Actual | +VE 800 | TP780 | FN 16 |
-VE 950 | FP 0 | TN 950 | -VE 950 | FP 32 | TN 918 | -VE 950 | FP 17 | TN 933 | -VE 950 | FP 36 | TN 924 | ||||
Validation | |||||||||||||||
Actual | +VE 350 | TP 348 | FN 2 | Actual | +VE 350 | TP 350 | FN 0 | Actual | +VE 350 | TP 346 | FN 4 | Actual | +VE 350 | TP 349 | FN 01 |
-VE 400 | FP 13 | TN 387 | -VE 400 | FP 7 | TN 393 | -VE 400 | FP 18 | TN 382 | -VE 400 | FP 14 | TN 386 | ||||
