Tree Pruning to avoid data overfitting
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"Tree Pruning." Our textbook says that the tree pruning addresses the problem of "overfitting the data." Discuss how overfitting affects the performance of a decision tree.
Some overview:
http://chem-eng.utoronto.ca/~datamining/dmc/decision_tree_overfitting.htm
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Solution Summary
This solution provides concept on how to avoid over fitting in data mining by utilizing tree pruning. Pre pruning and post pruning are used for this purpose.
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A problem that arises with all methods of generating classification rules is that of overfitting to the training data. In some cases this can result in excessively large rule sets and/or rules with very low predictive power for the unseen data. A smaller number of more general rules may have greater predictive accuracy ...
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