Correlated features

​

Definition

The correlated features test checks if there are features that are strongly correlated with one another.

​

Taxonomy

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

​

Why it matters

• Removing highly correlated features improves model interpretability and can improve generalization performance.
• For some models, multicollinearity can be an issue, and the coefficients learned are unreliable.
• Sometimes, correlated features can indicate data quality issues — such as duplicate or near-duplicate columns.

​

Test configuration examples

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

​

Related

• Predictive power score (PPS) test.