Managing models in the Hall of Fame

Initially, the Hall of Fame is populated by one default regression model, one default decision tree model, and optionally by a benchmark model or models. During modeling, you can add models and save them to the Hall of Fame. It is a good practice to create each type of model and compare their key characteristics.

For the models in the Hall of Fame you can check:

• Performance on development set - The predictive performance achieved by the model based on the development set.
• Performance on test set - The predictive performance achieved by the model based on the test set.
• Performance on validation set - The predictive performance achieved by the model based on the validation set.
• Number of inputs - The number of predictors used in the model.
• Input fields - The list of input fields in the model.

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