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4. Choosing the right algorithm for a binary model?

Episode four of the Einstein Studio series focuses on selecting the right algorithm for predictive models in Data 360. The session explains how Model Builder can automatically recommend algorithms for binary and multi-class models, highlighting CatBoost and XGBoost as optimal choices based on specific model types. It also discusses the importance of algorithm selection dimensions, including data scale, inference latency, and use cases. This episode provides valuable insights for both business users and data scientists by balancing ease of use with expert control.