Accuracy, sensitivity, specificity
Lots of performance metrics can be computed from a confusion matrix. For logistic regression, three of them in particular are important: accuracy, sensitivity, and specificity. Can you identify what each of those terms mean in the context of the churn model?
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Introduction to Regression with statsmodels in Python
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