Well-Trained PETs: Improving Probability Estimation Trees (2000)

Cached

Download Links

by Foster Provost , Pedro Domingos
Citations:30 - 5 self

Documents Related by Co-Citation

269 The Case Against Accuracy Estimation for Comparing Induction Algorithms – Foster Provost, Tom Fawcett, Ron Kohavi - 1997
4071 C4.5: Programs for machine learning – J Quinlan - 1993
3145 R.: Classification and Regression Trees – L Breiman, J Friedman, C Stone, Olshen - 1984
325 The use of the area under the ROC curve in the evaluation of machine learning algorithms – Andrew P. Bradley - 1997
1998 Bagging Predictors – Leo Breiman, Leo Breiman - 1996
2529 C.J.E.: Uci repository of machine learning databases, http://www.ics.uci.edu/ ∼ mlearn/MLRepository.html – C L Blake, Keogh
449 An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants – Eric Bauer, Ron Kohavi - 1999
349 The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve – J A HANLEY, B J MCNEIL - 1982
52 Pruning Decision Trees with Misclassification Costs – Jeffrey Bradford, Clayton Kunz, Ron Kohavi, Cliff Brunk, Carla E. Brodley - 1998
209 Robust Classification for Imprecise Environments – Foster Provost, Tom Fawcett - 1989
147 Estimating Probabilities: A Crucial Task in Machine Learning – B Cestnik - 1990
224 MetaCost: A General Method for Making Classifiers Cost-Sensitive – Pedro Domingos - 1999
192 Measuring the accuracy of diagnostic systems – J A SWETS - 1988
160 Construction and Assessment of Classification Rules – D J Hand - 1997
81 Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning – David Jensen, J. Neville, Jennifer Neville - 2002
67 Multiple Comparisons in Induction Algorithms – David Jensen, Paul R. Cohen - 1998
1783 Tibshirani R: An Introduction to Bootstrap – B Efron - 1993
80 A Simple, Fast, and Effective Rule Learner – William W. Cohen, Yoram Singer - 1999
334 Improving generalization with active learning – David Cohn, Richard Ladner, Alex Waibel - 1994