Implement a decision tree learner class named dtlearner

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Question: Implement a Decision Tree learner class named DTLearner in the file DTLearner.py. For this part of the project, your code should build a single tree only (not a forest). You should follow the algorithm outlined in the presentation here: decision tree slidesLinks to an external site.. We define "best feature to split on" as the feature (Xi) that has the highest absolute value correlation with Y. The algorithm outlined in those slides is based on the paper by JR QuinlanLinks to an external site. which you may also want to review as a reference. Note that Quinlan's paper is focused on creating classification trees, while we are creating regression trees here, so you will need to consider the differences.

Reference no: EM133695025

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