From bf1a9d6c2bad3fc4bc12123e03e84056981559fe Mon Sep 17 00:00:00 2001
From: ben-jaynes <1btjaynes@gmail.com>
Date: Mon, 8 Jun 2026 13:00:34 -0700
Subject: [PATCH] vault backup: 2026-06-08 13:00:34

---
 Wiki/Machine Learning/Imbalanced Data.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Wiki/Machine Learning/Imbalanced Data.md b/Wiki/Machine Learning/Imbalanced Data.md
index 7dc243c..d56b17f 100644
--- a/Wiki/Machine Learning/Imbalanced Data.md	
+++ b/Wiki/Machine Learning/Imbalanced Data.md	
@@ -16,5 +16,5 @@ The synthetic minority oversampling technique (SMOTE) is used to generate synthe
 4. Create new synthetic data point along line between first point and selected neighbors
 5. Repeat
  ![[SMOTE.excalidraw]]
- 
+ SMOTE can be helpful to increase the size of a minority dataset but 
 ### Algorithm-Level
\ No newline at end of file