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Decision Tree Growth
Max Depth:
4
Min Samples Split:
5
Data Points:
100
Generate New Data
Grow Tree Step
Auto Grow
Nodes:
1
Tree Depth:
0
Accuracy:
-
Decision Tree Algorithm
• Recursively splits data on features
• Uses information gain/Gini impurity
• Creates axis-aligned decision boundaries
• Green = Class A, Orange = Class B
Watch splits propagate through the tree!