Drifter-ML is a ML model testing tool specifically written for the scikit-learn library focused on data drift detection and management in machine learning models. It empowers you to monitor and ...

VVUQ 1–2022, Verification, Validation, and Uncertainty Quantification Terminology in Computational Modeling and Simulation V&V 10–2019, Standard for Verification and Validation in ...

Initial models included only significant variables from each data type. Data types were later combined to create more complex models. For the training, validation, and testing phases, we only selected ...

As countries begin to establish AI regulations, engineers designing AI-enabled systems must meet newly introduced ...

Learn how to use permutation testing to validate your machine learning models using Sklearn. This video breaks down the process to help improve model reliability and performance.