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	An Empirical Comparison of Supervised Learning Algorithms Rich Caruana Alexandru Niculescu-Mizil Department of Computer Science, Cornell University, Ithaca, NYUSA Add to Reading List Document Date: 2008-11-22 14:04:17 Open Document File Size: 124,37 KB Share Result on Facebook City San Francisco / Pittsburgh / New York / Paris / Ithaca / / Company Artificial Neural Networks / John Wiley and Sons / / / Event Product Issues / Product Recall / FDA Phase / / Facility Cornell University / / IndustryTerm constant solution / Applied data mining / machine learning tools / Data mining / classification algorithms / important new learning algorithms / supervised learning algorithms / learning algorithm / learning algorithms / / NaturalFeature Random forests / / Organization National Science Foundation / NASA Ames Research Center / Applied Artificial Intelligence / Cornell University / Supervised Learning Algorithms Rich Caruana Alexandru Niculescu-Mizil Department of Computer Science / / Person Morgan Kaufmann / / Position author / King / / Product precision/ / example Precision/ / FIA-91-28 / / ProvinceOrState New Brunswick / Pennsylvania / New York / / PublishedMedium Machine Learning / / Technology learning algorithm / Supervised Learning Algorithms / classification algorithms / Learning algorithms / Data mining / Machine Learning / ten algorithms / ten supervised learning algorithms / voting classification algorithms / / URL www.cs.cornell.edu\~caruana / / SocialTag Ensemble learning Bayesian statistics Neural networks Supervised learning Support vector machine Naive Bayes classifier Boosting Random forest Calibration Statistics