​
Definition

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

​
Taxonomy

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

Was this page helpful?

Empty feature countFeature values