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Definition

The features missing values test allows you to specify the number (or percentage) of missing values that are allowed for each feature.

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Taxonomy

  • Category: Integrity.
  • Task types: Tabular classification, tabular regression.
  • Availability: and .

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Why it matters

  • Missing values can have a direct impact on model performance.
  • The values missing from certain features can indicate issues with the data collection/ingestion process.
  • Measuring and tracking the number of missing values can inform the imputation strategies to be used.

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Test configuration examples

If you are writing a tests.json, here are a few valid configurations for the character length test:

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Empty feature countFeature values