Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning

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	Year	Citations
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Induction of Decision Trees J. R. Quinlan Machine Learning EngineeringMachine LearningData ScienceData MiningRule Induction	1986	14.5K
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Wrappers for feature subset selection Ron Kohavi, George H. John Artificial Intelligence EngineeringMachine LearningData ScienceData MiningPattern Recognition	1997	8.8K
Data mining Ian H. Witten, Eibe Frank ACM SIGMOD Record Abstract Object Theory	2002	5.2K
The foundations of cost-sensitive learning Charles Elkan	2001	1.8K
Predicting good probabilities with supervised learning Alexandru Niculescu-Mizil, Rich Caruana Artificial IntelligenceEngineeringMachine LearningData ScienceData Mining	2005	1.5K
MetaCost Pedro Domingos Artificial IntelligenceEngineeringMachine LearningArbitrary ClassifierClassification Method	1999	1.3K
Transforming classifier scores into accurate multiclass probability estimates Bianca Zadrozny, Charles Elkan EngineeringMachine LearningBinary Probability EstimatesClassifier ScoresText Mining	2002	1K
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers Bianca Zadrozny, Charles Elkan	2001	654

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