The following sections help to understand building machine learning experiments in Workbench:
|Create experiments||Create predictive modeling experiments from data that is time-relevant.|
|Evaluate models||Filter the Leaderboard, use visualization tools to evaluate models, and manage experiments.|
|Compare models||Compare up to three models of the same type from any number of experiments within a single Use Case.|
|Add/retrain models||Retrain existing models and add models from the blueprint repository.|
Updated September 26, 2023
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