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144
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ICML
2001
IEEE
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Machine Learning
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ICML 2001
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Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
16 years 3 months ago
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cseweb.ucsd.edu
Accurate, well-calibrated estimates of class membership probabilities are needed in many supervised learning applications, in particular when a cost-sensitive decision must be mad...
Bianca Zadrozny, Charles Elkan
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