done

Pruning: The process of removing the Sub-Nodes to reduce Overfitting.

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.

Done

Done

I learned in this video Elements of Decision Tree.

I learned in this lecture the Element Of a Decision Tree.

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.

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.