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classificationとbayesに関するIanLewisのブックマーク (1)

  • Random forest - Wikipedia

    Random forests or random decision forests is an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees. For regression tasks, the mean or average prediction of the individual trees is returned.[1][2] Random deci

    Random forest - Wikipedia
    IanLewis
    IanLewis 2010/01/21
    Random naive Bayes extends the Naive Bayes classifier by adopting the random forest principles: random input selection (bagging, i.e. bootstrap aggregating) and random feature selection ([1]).
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