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Creating models

Updated on April 5, 2022

In the Model creation step, you get sample models: one default regression model, one default decision tree model, and optionally by a benchmark model or models. During modeling, you can add more models and save them. A good practice is to create each type of model and compare their key characteristics.

  • In the Model creation step, check the following data:
    • To verify the predictive performance achieved by the model based on the development set, check the Development set column.
    • To verify the predictive performance achieved by the model based on the test set, check the Test set column.
    • To verify the predictive performance achieved by the model based on the validation set, check the Validation set column.
    • To verify the number of predictors used in the model, check the # Predictors column.
    • To verify the list of predictors in the model, check the Predictors column.

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