A study of cross-validation and bootstrap for accuracy estimation and model selection
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...The authors are with the Department of Electrical and Computer Engineering, University of Missouri-Rolla, Rolla, MO 65409 USA (e-mail: rxu@umr.edu; dwunsch@ece.umr.edu)....
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Cites background from "A study of cross-validation and boo..."
...In small data sets, CV estimates of predictive performance may be erratic, and repeated and/or stratified cross-validation can help stabilize them (Kohavi 1995)....
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"A study of cross-validation and boo..." refers background or methods or result in this paper
...CART and C4.5 (Breiman, Friedman, Olshen & Stone 1984, Quinlan 1993) are decision tree inducers that build decision tree classi ers....
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...Some experimental studies comparing di erent accuracy estimationmethods have been previously done, but most of them were on arti cial or small datasets....
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...The C4.5 algorithm (Quinlan 1993) is a descendent of ID3 that builds decision trees top-down....
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