From f5a4227e7f058892de58b216c85a70277362db59 Mon Sep 17 00:00:00 2001
From: ben-jaynes <1btjaynes@gmail.com>
Date: Wed, 20 May 2026 11:48:03 -0700
Subject: [PATCH] vault backup: 2026-05-20 11:48:03

---
 .../Class 4-23 (Model Validation & Evaluation).md                | 1 +
 1 file changed, 1 insertion(+)

diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 4-23 (Model Validation & Evaluation).md b/Running Start/CSB320 - Machine Learning Concepts/Class 4-23 (Model Validation & Evaluation).md
index 912df09..38fc0fa 100644
--- a/Running Start/CSB320 - Machine Learning Concepts/Class 4-23 (Model Validation & Evaluation).md	
+++ b/Running Start/CSB320 - Machine Learning Concepts/Class 4-23 (Model Validation & Evaluation).md	
@@ -66,3 +66,4 @@ There are many ways to evaluate the performance of models. This is necessary to
 ## Loss Functions
 Loss functions are meant to quantify the difference between observed values and the predictions of a model. They can be used to minimize loss and improve model performance.
 ### Absolute Loss
+$$Y_{i} - \hat{Y}_{i}$$