Lotus: An algorithm for building accurate and comprehensible logistic regression trees
10.1198/106186004X13064
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sg-nus-scholar.10635-1052102024-11-13T04:10:13Z Lotus: An algorithm for building accurate and comprehensible logistic regression trees Chan, K.-Y. Loh, W.-Y. STATISTICS & APPLIED PROBABILITY Piecewise linear logistic regression Recursive partitioning Trend-adjusted chi-square test Unbiased variable selection 10.1198/106186004X13064 Journal of Computational and Graphical Statistics 13 4 826-852 2014-10-28T05:13:01Z 2014-10-28T05:13:01Z 2004-12 Article Chan, K.-Y., Loh, W.-Y. (2004-12). Lotus: An algorithm for building accurate and comprehensible logistic regression trees. Journal of Computational and Graphical Statistics 13 (4) : 826-852. ScholarBank@NUS Repository. https://doi.org/10.1198/106186004X13064 10618600 http://scholarbank.nus.edu.sg/handle/10635/105210 000225739400006 Scopus |
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Piecewise linear logistic regression Recursive partitioning Trend-adjusted chi-square test Unbiased variable selection |
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Piecewise linear logistic regression Recursive partitioning Trend-adjusted chi-square test Unbiased variable selection Chan, K.-Y. Loh, W.-Y. Lotus: An algorithm for building accurate and comprehensible logistic regression trees |
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10.1198/106186004X13064 |
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STATISTICS & APPLIED PROBABILITY |
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STATISTICS & APPLIED PROBABILITY Chan, K.-Y. Loh, W.-Y. |
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Chan, K.-Y. Loh, W.-Y. |
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Chan, K.-Y. |
title |
Lotus: An algorithm for building accurate and comprehensible logistic regression trees |
title_short |
Lotus: An algorithm for building accurate and comprehensible logistic regression trees |
title_full |
Lotus: An algorithm for building accurate and comprehensible logistic regression trees |
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Lotus: An algorithm for building accurate and comprehensible logistic regression trees |
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Lotus: An algorithm for building accurate and comprehensible logistic regression trees |
title_sort |
lotus: an algorithm for building accurate and comprehensible logistic regression trees |
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2014 |
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http://scholarbank.nus.edu.sg/handle/10635/105210 |
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