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    Module

    12Machine Learning

    Version 2 CSE IIT, Kharagpur

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    Lesson35

    Rule Induction andDecision Tree - I

    Version 2 CSE IIT, Kharagpur

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    12.3 Decision Trees

    Decision trees are a class of learning models that are more robust to noise as well as more

    powerful as compared to concept learning. Consider the problem of classifying a star

    based on some astronomical measurements. It can naturally be represented by the

    following set of decisions on each measurement arranged in a tree like fashion.

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    2. Separate training set D into subsets {D1, D2, .., Dk} where each subset Di contains

    3. Recursively apply the algorithm on each new subset until examples have the same

    lustration:

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