Data may be subdivided into smaller groups using decision trees, which do this by dividing the data into two or more categories at each node. There may be unintended consequences to this method if the decision tree is not trimmed. Explain the process of pruning, when it happens, and why it's beneficial to do it.

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A: Refer to step 2 for the answer.

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Q: The in a decision tree are arranged according to their occurrence in time (from left to right).

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Q: Decision trees split data into two or more categories at each branch. This method may backfire if…

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Q: nlai nin how,

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Q: Decision trees split data into two or more categories at each branch. This method may backfire if…

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Q: XOR function mappings can easily be classified by decision trees. True False

A: The answer is

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Q: What is Random Forest Classifier?write code to explain it.

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Binomial Heap

A binomial heap is a group of binomial trees. This data structure acts as a priority queue and implements the merge operation faster.