Abstract
A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important requirement with a view toward explaining and justifying decisions based on such models. We explore the use of monotonicity constraints in classification tree algorithms.We present an application of monotonic classification trees to a problem in house pricing. In this preliminary study we found that the monotonic trees were only slightly worse in classification performance, but were much simpler than their non-monotonic counterparts.
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© 2000 Springer-Verlag Berlin Heidelberg
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Feelders, A. (2000). Prior Knowledge in Economic Applications of Data Mining. In: Zighed, D.A., Komorowski, J., Żytkow, J. (eds) Principles of Data Mining and Knowledge Discovery. PKDD 2000. Lecture Notes in Computer Science(), vol 1910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45372-5_42
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DOI: https://doi.org/10.1007/3-540-45372-5_42
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