Description: machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive- bayes, decision tables, the majority, induction algorithms, classifiers, categorizers, general logic diagrams. instance-based algorithms, discretization. lazy learning, bagging, MineSet.
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