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Add crosslink for specificity, sensitivity and accuracy #761

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Add crosslink for specificity, sensitivity and accuracy #761

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4892b43
Add crosslink for specificity
sfmig Dec 3, 2024
ecf6d13
Add crosslink for sensitivity
sfmig Dec 3, 2024
e623667
Add crosslink for accuracy
sfmig Dec 3, 2024
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2 changes: 1 addition & 1 deletion glossary.yml
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Expand Up @@ -3395,7 +3395,7 @@
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 and 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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