From bd4cf5f15fa89459f0a7389a9c97aabbdc2b9490 Mon Sep 17 00:00:00 2001 From: Robin Linacre Date: Mon, 12 Aug 2024 10:58:36 +0100 Subject: [PATCH] fix equations --- docs/topic_guides/evaluation/edge_metrics.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/docs/topic_guides/evaluation/edge_metrics.md b/docs/topic_guides/evaluation/edge_metrics.md index 1f4e1d0580..356b38cf44 100644 --- a/docs/topic_guides/evaluation/edge_metrics.md +++ b/docs/topic_guides/evaluation/edge_metrics.md @@ -90,7 +90,7 @@ $$\textsf{Specificity} = \frac{\textsf{True Negatives}}{\textsf{All Negatives}} The Positive Predictive Value (Precision), is the proportion of predicted matches which are true matches. -$$\textsf{Precision} = \frac{\textsf{True Positives}}{\textsf{All Predicted Positives}} = \frac{\textsf{True Positives}}{\textsf{True Positives} + \textsf{False Negatives}}$$ +$$\textsf{Precision} = \frac{\textsf{True Positives}}{\textsf{All Predicted Positives}} = \frac{\textsf{True Positives}}{\textsf{True Positives} + \textsf{False Positives}}$$ ??? info "Precision in Splink" @@ -100,7 +100,8 @@ $$\textsf{Precision} = \frac{\textsf{True Positives}}{\textsf{All Predicted Posi The Negative Predictive Value is the proportion of predicted non-matches which are true non-matches. -$$\textsf{Negative Predictive Value} = \frac{\textsf{True Negatives}}{\textsf{All Predicted Negatives}} = \frac{\textsf{True Negatives}}{\textsf{True Negatives} + \textsf{False Positives}}$$ +$$\textsf{Negative Predictive Value} = \frac{\textsf{True Negatives}}{\textsf{All Predicted Negatives}} = \frac{\textsf{True Negatives}}{\textsf{True Negatives} + \textsf{False Negatives}}$$ + ??? info "Negative Predictive Value in Splink"