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AI Modeling


What Are Leaky Variables and Why They Ruin Credit Models
What Exactly Is a Leaky Variable? A leaky variable is any feature in your training data that contains information you won't have at...

Leland Burns & Jim McGuire
Jul 7


Gradient Boost Models: Hidden Risks and How to Avoid Them in Credit Modeling
Gradient Boost Models (GBMs) have become the go-to tool for many credit modelers for good reason. GBMs can unlock meaningful lift in...

Leland Burns & Jim McGuire
Jun 23


Custom Credit Models vs. FICO and Vantage: What's the Difference and Why It Matters
FICO and Vantage scores are well-known, widely used, and easily accessible. Meanwhile, building a custom credit model can take...

Leland Burns & Jim McGuire
Jun 9


How Much Data Do I Need to Build a Credit Model?
One of the most common questions we get about building a credit model is " How much data do I need to make it work? " And like many...

Leland Burns & Jim McGuire
May 27


What Is a Good AUC for a Credit Model?
If you’ve built credit underwriting models, you're familiar with the modeling metric called “AUC.” AUC is the primary metric used to...

Leland Burns & Jim McGuire
May 12


New Research on ML Fairness and Explainability
FinRegLab, a nonprofit focused on innovations that advance responsibility and inclusiveness in the financial sector, has released the...

Leland Burns & Jim McGuire
Sep 7, 2023


How To Build an Explainable ML Model
Make explainability the core of the process, not a feature of the model.

Leland Burns & Jim McGuire
Aug 16, 2022
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