Key Terminologies Involved In Decision Tree Supervised Machine Learning ML SS
This slide introduces key decision tree terminologies, including root and leaf nodes, splitting, branching, pruning, and the parent child node relationship, essential for understanding the structure and function of decision trees.
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This slide introduces key decision tree terminologies, including root and leaf nodes, splitting, branching, pruning, and the parent child node relationship, essential for understanding the structure and function of decision trees. Present the topic in a bit more detail with this Key Terminologies Involved In Decision Tree Supervised Machine Learning ML SS Use it as a tool for discussion and navigation on Decision Node, Unnecessary Branches, While Subsequent Nodes This template is free to edit as deemed fit for your organization. Therefore download it now.
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