From c0c077f35346a17e9634178e0bb9850319198045 Mon Sep 17 00:00:00 2001
From: TheSiahxyz <164138827+TheSiahxyz@users.noreply.github.com>
Date: Sun, 29 Dec 2024 16:24:13 +0900
Subject: updates

---
 .../Data Science/Machine Learning/Contents/Bias and Variance.md     | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

(limited to 'SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md')

diff --git a/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md b/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md
index 294f138..a3e6398 100644
--- a/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md	
+++ b/SI/Resource/Data Science/Machine Learning/Contents/Bias and Variance.md	
@@ -34,9 +34,9 @@ tags:
 
 - Solution
   - Use validation data set
-    - $\bbox[teal,5px,border:2px solid red]{\text{Train data (80\%)+ Valid data (10\%) + Test data (10\%)}}$
-    - Cannot directly participate in model training
-    - Continuously evaluates in the learning base, and stores the best existing performance
+  - $\bbox[teal,5px,border:2px solid red]{\text{Train data (80\%)+ Valid data (10\%) + Test data (10\%)}}$
+  - Cannot directly participate in model training
+  - Continuously evaluates in the learning base, and stores the best existing performance
   - K-fold cross validation
     - **Leave-One-Out Cross-Validation (LOOCV)**
       - a special case of k-fold cross-validation where **K** is equal to the number of data points in the dataset.
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