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Questions referring to classifiers or classifying problems where some of the classes in the data are under-represented.

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Changing reference class in imbalanced data drastically affects the error rate

Working on a binary classification problem that tries to predict customer churn, the data set is imbalanced with 2000 observations of non-churn cases vs 600 observations of churn cases. On using GLM …
Vinay Tiwari's user avatar