AI GLOSSARY · DATA & ML
Precision and recall
Precision: how many flagged items were right. Recall: how many right items were flagged.
Example
A fraud model with high recall catches most fraud but may flag good customers.
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Related terms
DATA & MLBaselineA simple reference result that a model must beat to be worth using.DATA & MLOverfittingWhen a model memorises training data and performs poorly on new data.DATA & MLTrain/test splitKeeping some data aside, unseen during training, to measure real performance.DATA & MLData leakageWhen information from the test set or the future sneaks into training, making results look better than they are.DATA & MLClassificationPredicting a category, such as spam or not spam.DATA & MLRegressionPredicting a number, such as a price or a quantity.