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Pruning: The process of removing the Sub-Nodes to reduce Overfitting.
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I learned about the elements of a decision tree:
1. Node: the point where data splits
2. Root Node: The top node from where the data divides
3. Splitting: Process of dividing a node into two or more nodes
4. Decision Node: An element of Decision tree that splits into further nodes
5. Internal Node: A Node that is a sub-Node of a Decision Node and itself a Decision Node
6. Leaf/terminal Node : A node which does not split further. It gives the outcome.
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Done
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Done
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I learned in this video Elements of Decision Tree.
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I learned in this lecture the Element Of a Decision Tree.
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AOA, I learned in this lecture about elements of a Decision Tree which are1-Node ( point where the data splits )
2-Root Node ( the top node from where the data divides) ( if else condition apply)
3-Splitting ( process of dividing a node into two or more sub-nodes)
4-Decision Node ( element of DT that splits into further node)
5-Internal Node
6-Leaf Node/Terminal Node ( do not split further )And also learned about1-Sub Tree
2-Pruning ( removing the sub-nodes to reduce the overfitting model )ALLAH PAK aap ko sahat o aafiat wali lambi umar ata kray aor ap ko dono jahan ki bhalian naseeb farmaey,Ameen.
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The elements of the decision tree are (1) node (2) root node (3) splitting (4) decision node (5) internal node (6) leaf node or terminal node.
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