From 08b70cc991ac9bc6e16ed39810e4281eb4925507 Mon Sep 17 00:00:00 2001 From: jteijema Date: Thu, 31 Oct 2024 14:23:39 +0100 Subject: [PATCH] Change readme explanation --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index f50f358..4aada5f 100644 --- a/README.md +++ b/README.md @@ -139,7 +139,9 @@ quantifying how closely it approximates the ideal screening process. This quantification is then normalized between the ideal curve and the worst possible curve. -While metrics like WSS, Recall, and ERF evaluate the performance at specific points on the recall curve, the Loss metric provides an overall measure of performance across the entire screening process. +While metrics like WSS, Recall, and ERF evaluate the performance at specific +points on the recall curve, the Loss metric provides an overall measure of +performance. To compute the loss, we start with three key concepts: