cost sensitive

Defaulting to 0.5 leaves money or safety on the table. The right cutoff comes from the cost of each error and the operating constraint, not the model. Here is how to set it deliberately.

Fraud is well under 1% of transactions, the labels land weeks late as chargebacks, and the fraudsters deliberately adapt to your model. Optimizing accuracy hands you a model that approves everything. The interview is about dollars-at-risk thresholding, label delay, and a review queue with a fixed headcount.