Table 9 Validation performance on the NCT-CRC-HE-100K Dataset.

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

Class

Precision

Recall

F1-Score

Support

ADI

1

0.9933

0.9967

150

BACK

1

1

1

150

DEB

0.98

0.98

0.98

150

LYM

0.9868

0.9933

0.99

150

MUC

0.9867

0.9867

0.9867

150

Accuracy

–

–

0.9907

750

Macro Avg

0.9907

0.9907

0.9907

750

Weighted Avg

0.9907

0.9907

0.9907

750

Overall Test Accuracy

–

–

99.07%

–

Cohen’s Kappa Score

–

–

0.9883

–

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