Give a decision trees that makes same classification as h1
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The specific type of decision tree used for machine learning contains no random transitions. To use a decision tree forclassification or regression, one grabs a row of data or a set of features and starts at the root, and then through each subsequentdecision node to the terminal node.
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Decision tree uses entropy and information gain to select a feature which gives the best split. Intuitively, we can say that best split is when we can separate the classes accurately based on that feature
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