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Merge pull request #761 from sfmig/sfmig/crosslink-sensitivity-specif…
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Add crosslink for specificity, sensitivity and accuracy
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elletjies authored Feb 5, 2025
2 parents 81fb945 + e623667 commit e859bdc
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2 changes: 1 addition & 1 deletion glossary.yml
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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 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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