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Table 8 The performance analysis of the presented methods on the ShUCSEIT dataset

From: CausalCervixNet: convolutional neural networks with causal insight (CICNN) in cervical cancer cell classification—leveraging deep learning models for enhanced diagnostic accuracy

Models

Avg

Precision

Avg

Recall

Avg

F1-score

Avg

Accuracy

AUC

KNN

0.764

0.706

0.675

71.59%

0.822

SVM

0.847

0.846

0.843

84.09%

0.901

RF

0.807

0.808

0.807

80.68%

0.879

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BMC Cancer

ISSN: 1471-2407

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