1. B

    Conflicting definitions: What is “effect size” regarding customer churn?

    One research paper says an example of "effect size" is the difference in the average age of churners vs. non-churners (41 vs 45). Another research paper says "effect size" is the difference in the area under the ROC curve (AUC was used to measure the validity of a model used to predict churn)...
  2. J

    Logistic Regression

    Hello, I'm currently working on a churn modelling exercise that uses logistic regression. The challenge that i'm facing now is that the model is not returning good results. My hypothesis is that the churn rate in my data set is too small, such that a logistic regression was not able to pick...