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Published in:
2019 | OriginalPaper | Chapter
9. Out-of-Sample Validation
Authors : Miguel Ángel Canela, Inés Alegre, Alberto Ibarra
Published in: Quantitative Methods for Management
Publisher: Springer International Publishing
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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.