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- W863140915 abstract "CHAID, logistic regression, bagging trees, and bagging trees are compared on SAS artificial data set as HMEQ in terms of classification accuracy and training time. In error rates, bagging trees is at the top, although its run time is slower than those of others. The run time of logistic regression is best among given models, but there is no uniformly efficient model satisfied in both criteria." @default.
- W863140915 created "2016-06-24" @default.
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- W863140915 date "2001-01-01" @default.
- W863140915 modified "2023-09-24" @default.
- W863140915 title "Evaluations of predicted models fitted for data mining - comparisons of classification accuracy and training time for 4 algorithms" @default.
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