Question: Implement a simple decision tree classifier from scratch using Python. Your implementation should include functions for building the tree, making predictions, and evaluating the model using accuracy as the performance metric. Use the ID3 algorithm for building the decision tree, and handle both categorical and numerical features.
Question: Implement a simple decision tree classifier from scratch using Python. Your implementation should include functions for building the tree, making predictions, and evaluating the model using accuracy as the performance metric. Use the ID3 algorithm for building the decision tree, and handle both categorical and numerical features.
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![Question:
Implement a simple decision tree classifier from scratch using Python. Your implementation should
include functions for building the tree, making predictions, and evaluating the model using accuracy as
the performance metric. Use the ID3 algorithm for building the decision tree, and handle both
categorical and numerical features.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7392f0c9-1741-4dfb-a7cd-a555307a820e%2Fd80f2b68-8d0d-442d-b357-c3f9f12b563f%2Ff14z29r_processed.png&w=3840&q=75)
Transcribed Image Text:Question:
Implement a simple decision tree classifier from scratch using Python. Your implementation should
include functions for building the tree, making predictions, and evaluating the model using accuracy as
the performance metric. Use the ID3 algorithm for building the decision tree, and handle both
categorical and numerical features.
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