Cut Off, Lift, Binary Classification, Model Performance, Performance Metrics.
82/(82+25) = 0.77 Recall Recall is the ratio of correctly predicting actual positives. For churn data, Recall is 82/(82+18) = 0.82 F1 Score F1 Score combines Precision and Recall metrics and it is the harmonic mean of precision and recall. For churn data, F1 Score is 2*((0.77*0.82)/(0.77+0.82)) =