Abstract
This chapter deals with the validation of classification models. The role of validation is to dismiss the concerns about overfitting, which happens when we develop a complex model in order to fit the current data but that model fails later to fit new data. The example deals with churn modeling, already mentioned in Chap. 8.
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Canela, M.Á., Alegre, I., Ibarra, A. (2019). Out-of-Sample Validation. In: Quantitative Methods for Management. Springer, Cham. https://doi.org/10.1007/978-3-030-17554-2_9
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DOI: https://doi.org/10.1007/978-3-030-17554-2_9
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-17554-2
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