Training Distribution
Noun · AI & Machine Learning
Definitions
The distribution of examples, patterns, and conditions present in the data a model was trained on. A mismatch between training distribution and real-world use often causes poor generalization.
In plain English: The kinds and frequencies of data the model saw during training.
Example: "The model struggled in production because customer inputs differed sharply from the clean training distribution used during development."