2 posts tagged with "model evaluation"

Making your data match the real-world data of your use-case is crucial for training a robust machine learning model. This post shows you how to interactively curate your data to adapt your data in an informed manner.

Ensuring label consistency is critical for building robust machine learning models. This post shows you how to achieve label consistency in a data centric way.