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Classification and regression trees

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  • N. Speybroeck

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Suggested Citation

  • N. Speybroeck, 2012. "Classification and regression trees," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 57(1), pages 243-246, February.
    • Handle: RePEc:spr:ijphth:v:57:y:2012:i:1:p:243-246
    DOI: 10.1007/s00038-011-0315-z
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    References listed on IDEAS

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    1. Speybroeck, N. & Berkvens, D. & Mfoukou-Ntsakala, A. & Aerts, M. & Hens, N. & Van Huylenbroeck, G. & Thys, E., 2004. "Classification trees versus multinomial models in the analysis of urban farming systems in Central Africa," Agricultural Systems, Elsevier, vol. 80(2), pages 133-149, May.
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    Cited by:

    1. Wenbin Su & Wei Ren & Hui Sun & Canjie Liu & Xuhao Lu & Yingli Hua & Hongbo Wei & Han Jia, 2022. "Data-Based Flow Rate Prediction Models for Independent Metering Hydraulic Valve," Energies, MDPI, vol. 15(20), pages 1-12, October.
    2. Lisa Dandolo & Christina Hartig & Klaus Telkmann & Sophie Horstmann & Lars Schwettmann & Peter Selsam & Alexandra Schneider & Gabriele Bolte & on behalf of the INGER Study Group, 2022. "Decision Tree Analyses to Explore the Relevance of Multiple Sex/Gender Dimensions for the Exposure to Green Spaces: Results from the KORA INGER Study," IJERPH, MDPI, vol. 19(12), pages 1-25, June.
    3. Zhao-Feng Chen & Lufei Young & Chong Ho Yu & S. Pamela K. Shiao, 2018. "A Meta-Prediction of Methylenetetrahydrofolate-Reductase Polymorphisms and Air Pollution Increased the Risk of Ischemic Heart Diseases Worldwide," IJERPH, MDPI, vol. 15(7), pages 1-16, July.
    4. A. A. Withagen-Koster & R. C. Kleef & F. Eijkenaar, 2018. "Examining unpriced risk heterogeneity in the Dutch health insurance market," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1351-1363, December.
    5. Ali Daud & Muhammad Ahmad & M. S. I. Malik & Dunren Che, 2015. "Using machine learning techniques for rising star prediction in co-author network," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1687-1711, February.
    6. António Bento Caleiro, 2021. "Learning to Classify the Consumer Confidence Indicator (in Portugal)," Economies, MDPI, vol. 9(3), pages 1-12, September.
    7. Yulin Wang & Liang Wang & Jilin Cheng & Chengda He & Haomiao Cheng, 2019. "Recognizing Crucial Aquatic Factors Influencing Greenhouse Gas Emissions in the Eutrophication Zone of Taihu Lake, China," Sustainability, MDPI, vol. 11(19), pages 1-13, September.
    8. Hsiao-Ling Yang & Ya-Ling Yang & Chong Ho Yu & S. Pamela K. Shiao, 2018. "Meta-Prediction of MTHFR Gene Polymorphism and Air Pollution on the Risks of Congenital Heart Defects Worldwide: A Transgenerational Analysis," IJERPH, MDPI, vol. 15(8), pages 1-18, August.

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