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