The null rows test allows you to specify the number (or percentage) of rows with missing values.


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

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.