What happens to active learning project validation when a classification index build is initiated?

When a classification index build is initiated, ongoing active learning project validation processes are effectively canceled. This is primarily because the index build alters the foundational elements used by the validation, leading to inconsistencies in the evaluation of the model being validated.

Active learning relies on current, accurate data and model parameters to produce valid insights and performance metrics. If a new classification index is being constructed, it signifies significant changes or updates to the classification framework. As a result, previously conducted validation processes become obsolete.

This ensures the integrity of the active learning process, allowing it to continuously evolve and remain aligned with the most recent data and classification methodologies. Any active validation would therefore not be applicable under these new conditions, as the results could be misleading, making it essential to halt those processes until the new index build is complete and a new round of validation can be initiated based on the updated framework.