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Machine learning as an experimental science (revisited)

. In AAAI Workshop on Evaluation Methods for Machine Learning, page 1--5. (2006)

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Cost-Sensitive Classifier Evaluation Using Cost Curves., and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 26-29. Springer, (2008)Discriminative vs. Generative Classifiers for Cost Sensitive Learning.. Canadian AI, volume 4013 of Lecture Notes in Computer Science, page 479-490. Springer, (2006)Improving Bayesian Learning Using Public Knowledge., , , and . Canadian AI, volume 6085 of Lecture Notes in Computer Science, page 348-351. Springer, (2010)Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criterion, and . Machine Learning: Proceedings of the 17th Annual Conference, San Francisco, CA: Morgan Kaufmann, (2000)Class.. Encyclopedia of Machine Learning and Data Mining, Springer, (2017)Class.. Encyclopedia of Machine Learning, Springer, (2010)Classification.. Encyclopedia of Machine Learning, Springer, (2010)Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm., , , and . ECML/PKDD (3), volume 8190 of Lecture Notes in Computer Science, page 33-48. Springer, (2013)Robustness of Classifiers to Changing Environments., , , and . Canadian AI, volume 6085 of Lecture Notes in Computer Science, page 232-243. Springer, (2010)Severe Class Imbalance: Why Better Algorithms Aren't the Answer., and . ECML, volume 3720 of Lecture Notes in Computer Science, page 539-546. Springer, (2005)