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- W1535567326 abstract "We introduce a numerical measure on sets of partitions of finite sets that is linked to the Goodman-Kruskal association index commonly used in statistics. This measure allows us to define a metric on such partions used for constructing decision trees. Experimental results suggest that by replacing the usual splitting criterion used in C4.5 by a metric criterion based on the Goodman-Kruskal coefficient it is possible, in most cases, to obtain smaller decision trees without sacrificing accuracy." @default.
- W1535567326 created "2016-06-24" @default.
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- W1535567326 date "2004-01-01" @default.
- W1535567326 modified "2023-09-24" @default.
- W1535567326 title "A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index" @default.
- W1535567326 cites W2078210981 @default.
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- W1535567326 doi "https://doi.org/10.1007/978-3-540-24775-3_23" @default.
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