Table 12 Fold-wise performance metrics on the HMU-GC-HE-30K Dataset.

From: Fusion of classical and deep learning features with incremental learning for improved classification of lung and colon cancer

Fold

Train accuracy

Validation accuracy

Test accuracy

Kappa

1

0.9996

0.9814

0.9853

0.9817

2

0.9996

0.9971

0.9813

0.9767

3

1

1

0.984

0.98

4

1

1

0.9853

0.9817

5

1

1

0.984

0.98

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