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Running Start/CSB320 - Machine Learning Concepts/Class 5-21 (Ensemble Models).md

@@ -42,4 +42,8 @@ bootstrap_samples = [
 	- 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
+- boosting
+	- base models fit iteratively, adjusting for previous error
+	- uses same training data without bootstrap sampling
+	- assigns higher weight to misclassified instances
 	-