Table 9 Training and testing accuracies of different Classifiers - Pruning CNN classification layers and freezing remaining layers.

From: XcepFusion for brain tumor detection using a hybrid transfer learning framework with layer pruning and freezing

Classifier

Training Accuracy

Testing Accuracy

CNN-SVM

1.0000

0.9833

CNN-DT

1.0000

0.9017

CNN-KNN

0.9921

0.9883

CNN-RF

1.0000

0.9683

CNN-LR

0.9996

0.9900

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