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Table 5 Evaluation metrics

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

Metric

Formula

Precision

\(\frac{TP}{TP + FP}\)

Recall

\(\frac{TP}{TP + FN}\)

F1-score

\(2\times \frac{Precision \times Recall }{Precision + Recall}\)

Accuracy

\(\frac{TP+ TN}{TP+TN+FP+FN}\)

AUC

\(\frac{TruePositiveRate- FalsePositiveRate+1}{2}\)