Precision, recall, and ROC-AUC with strong class imbalance
A dataset has 95 ones and 5 zeros. The model always predicts one. Compute precision, recall, and ROC-AUC, then explain why the model is bad and how to choose a threshold.
Answer as you would in an interview
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