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Contents
Decision AI

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    Reference

    Glossary

    Terms of art, each defined once in plain language. In the chapters, a marked term shows its definition on hover or focus.

    AUC
    Area under the ROC curve: the chance that a randomly chosen positive record gets a higher score than a randomly chosen negative one. It measures ranking, not calibration.
    Calibration
    Whether predicted probabilities match observed frequencies: among items given a probability of 0.3, about three in ten should turn out positive.
    Checkpoint
    A point in an agent's work at which a controller chooses the next action.
    Constructed set
    Examples written for this booklet with known answers, used where sampled data cannot show a case clearly.
    Cross-fitting
    Splitting the data into folds, fitting on all but one fold and scoring the held-out fold, so that no item is scored by a rule fitted on it.
    Cutoff
    The probability above which a policy takes an action.
    Expected loss
    The average cost of an action, weighting each possible outcome's cost by its probability.
    Sample weight
    A number attached to each sampled item so that weighted results describe the population the sample was drawn from rather than the sample's own mix.
    Uplift
    The change in an outcome for a given person when an action is taken, compared with the same person without the action.