Creating models

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. It is a good practice to create each type of model and compare their key characteristics.

For the models in the Model creation step 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 predictors used in the model.
Predictors - The list of predictors in the model.

Previous: Grouping predictors

Next: Analyzing models