Research Article
3D CNN with Visual Insights for Early Detection of Lung Cancer Using Gradient-Weighted Class Activation
Table 4
Key matrices with definitions.
| Total population | True condition | Condition positive | Condition negative |
| Predicted condition | Predicted condition positive | True positive | False positive (type I error) | Predicted condition negative | False negative (type II error) | True negative | | True positive rate (TPR), recall, Sensitivity = ∑true positive/∑condition positive | False-positive rate (FPR) = ∑false positive/∑condition negative | Accuracy (ACC) = (∑true positive + ∑true negative)/∑total population | Precision = ∑true positive/∑predicted condition positive | F1 score = 1/((1/recall + 1/precision)/2) | Specificity (SPC), selectivity = ∑true negative/∑condition negative |
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