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Add crosslink for accuracy
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sfmig committed Dec 3, 2024
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represents the predicted classes. For a binary classification model the confusion matrix
gives the True Positives (TP), False Negatives (FN), False Positives (FP) and True Negatives
(TN) in the 1st, 2nd, 3rd and 4th quadrants, respectively. The table can be used to calculate
Accuracy, [Sensitivity](#sensitivity) and [Specificity](#specificity) amongst other measures of the model.
[Accuracy](#accuracy), [Sensitivity](#sensitivity) and [Specificity](#specificity) amongst other measures of the model.
- slug: constant
en:
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