Python, Data Science, AI, NLP, Programming.
Integration testing: Integration tests verify that end-to-end model pipelines are working correctly, from input to output. They’re slower than unit tests, but provide more comprehensive coverage. Accuracy testing: Accuracy tests measure model performance on held-out test sets or real-world data.