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Which of the following statements is true about decision trees? To get good training accuracy, we can grow the tree completely and then prune back.
Which of the following statements is true about decision trees?
To get good training accuracy, we can grow the tree completely and then prune back.
The test set should never be used in training the tree.
For generalization, we should grow the tree completely to get good training accuracy.
We measure the performance of a tree by calculating the fraction of training instances that are correctly classified.
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Constraint Based Mining And Inductive Databases European Workshop On Inductive Databases And Constraint Based Mining Hinterzarten Germany March 2004 Revised Selected Papers Lnai 3848
Authors: Jean-Francois Boulicaut ,Luc De Raedt ,Heikki Mannila
2006th Edition
3540313311, 978-3540313311
