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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?

This exercise is part of the course

Introduction to Regression with statsmodels in Python

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