Partitioned Models

These articles demonstrate how to build a partitioned model trained on subgroups, or partitions, of the dataset, and compare the results with a non-partitioned model trained on the whole dataset.


This content is also included in a free Dataiku Academy course Partitioned Models, which is an optional part of the ML Practitioner learning path. Register for the course there if you’d like to track and validate your progress alongside concept videos, text summaries, hands-on tutorials, and quizzes.