diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md b/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md
index e9b72a9..f2d6605 100644
--- a/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md	
+++ b/Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md	
@@ -39,4 +39,7 @@ bootstrap_samples = [
 - random forests
 	- uses decision trees trained on feature subsets
 	- predictions are aggregated using averaging (regression) or majority vote (classification)
+	- features can also be selected at random as well as instances to decrease correlation between trees
+		- this can also increase computational efficiency
+		- prevents single features from dominating
 	- 
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