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The top documents tagged [majority class]
Evaluation of classifiers: choosing the right model Rajashree Paul Irina Pekerskaya
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Algorithms for Classification: Notes by Gregory Piatetsky
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Three kinds of learning Supervised learning Learning some mapping from inputs to outputs Unsupervised learning Given “data”, what kinds of patterns can
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1 Similarity of Documents and Document Collections using attributes with low noise Chris Biemann, Uwe Quasthoff Ifi, NLP Department University of Leipzig,
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1 Classification and regression trees Pierre Geurts Stochastic methods (Prof. L.Wehenkel) University of Liège
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1 Inferring rudimentary rules 1R: learns a 1-level decision tree I.e., rules that all test one particular attribute Basic version One branch for
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Algorithms for Classification: The Basic Methods
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1 Imbalanced Data Set Learning with Synthetic Examples Benjamin X. Wang and Nathalie Japkowicz
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Social class on campus: Expanding the diversity discussion Will Barratt, Ph.D. January 4, 2011 Indiana University
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Learning from Imbalanced, Only Positive and Unlabeled Data Yetian Chen 04-29-2009
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START OF DAY 2 Reading: Chap. 6 & 12. Decision Tree Learning
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Machine Learning Overview Tamara Berg Language and Vision
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