34A customer wants to auto-decide on a high-stakes classifier. How do you make the probabilities safe to act on?▼hardGoogleScaleDatabricks2 replies◆ premiumWhen a model auto-approves loans or routes patients, the probability is the product, not a dashboard number. The calibration-plus-abstention design that lets a customer trust an automated decision, and the subgroup trap that gets it pulled in audit.Open full answer →
71Your classifier has zero calibration error but routes every ticket identically. Is it useful?▼hardNewGoogleDatabricksMicrosoft2 replies◆ premiumDiagnose a constant predictor that looks perfect on a calibration chart, then compare probability quality, routing cost and capacity using a supplied synthetic packet.Open full answer →
