Glossary

What is Model Drift?

Model Drift refers to the gradual decline in a machine learning model’s performance over time as real-world data diverges from the data it was originally trained on. It can lead to inaccurate predictions, biased outcomes, and unreliable decision-making in production…

What is Model Interpretability?

Model interpretability is the ability to understand how and why an artificial intelligence or machine learning model makes its predictions. It provides transparency into a model’s decision-making process — revealing which data features influenced the outcome and how they interacted…