AI Glossary

Missing-value imputation

Also called imputation

What does “Missing-value imputation” mean?

Missing-value imputation: Filling missing data with values estimated by a rule or model.

Missing-value imputation visual guide: Filling missing data with values estimated by a rule or model.
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What is an example of “Missing-value imputation”?

A tabular pipeline substitutes the training median when a sensor reading is absent.

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See also

Machine learningTermSupervised learningTermClassificationTermTraining splitTermData preprocessingTerm

Same topic

ModelTermMultimodal AITermLogistic regressionTermNarrow AITermLinear regressionTerm