🎉 NEW - LSL Replacement prioritization tools | Learn More

Classifying unknown service line materials as Lead or Non-Lead with predictive modeling

How can water systems effectively classify unknown service lines using predictive modeling? In this video from the series, “Expert insights: New standards for water infrastructure,” BlueConduit’s VP of Data Science, Alice Berners-Lee, joins VP of Sales, Kristy McGrath, to explore how water systems and their engineering partners can leverage predictive modeling to classify unknown service lines as lead or non-lead.

🔍 Key topics covered:

✔️ Understanding the concept of unknown management in lead service line inventories
✔️ How predictive modeling assigns lead likelihood probabilities to unknown service lines
✔️ The role of thresholds in classifying service lines and how they vary by state
✔️ The importance of calibration, metrics like precision and recall, and confidence intervals in decision-making
✔️ How water systems can use data-driven insights to guide replacement planning and compliance

BlueConduit has spent nearly a decade developing best-in-class predictive modeling tools to help water systems make informed, high-quality decisions. If you’d like to learn more about reducing unknowns in your inventory, reach out to our team.

More from the Blog

Stay Informed and
Get Inspired.

Get the latest updates and industry insights delivered straight to your inbox.