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Machine-Learning_Cod.tar
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Description: Build a decision tree (DT) classfier using the following three strategies for stopping growth
of a tree: i) threshold on the decrease in impurity ii) threshold on the number of data
vectors at a node iii) grow the tree as much as possible and then prune.
Experiment with at least two different impurity functions.
handle some errors in the data like absurd values and/or missing data for
some attribute values. Carefully, report how you have handled such data errors and what
is the reason for the choice you made.
In all cases report five fold cross validated values for accuracy.
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