Watch this video to learn simple, yet effective ways to refine machine learning (ML) models so you can improve their performance or better fit your models to a specific task or dataset.
Audience
Beginners; all One AI users
You will learn:
- Foundational knowledge on what refining a ML model is and its importance to prepare you for more advanced model configuration.
- How to leverage the EDA & Results Summary reports to infirm what types of model refinements make sense for different models.
- How to perform the configurations and overrides we discuss in the One AI tool:
- Recipe Reconfiguration
- Adjusting training dataset time frame (history)
- Core attribute scope
- Generative attributes
- Creating separate models for different parts of the organization
- Global settings & null drop threshold
- Per Column Interventions
- Droppability
- Null filling
- Recipe Reconfiguration
- The impact of configurations and overrides to guide you in future model refinement.
Run Time: > 25 minutes
Read our detailed guide - Refining a Machine Learning Model in One AI.
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