Finally, you must choose features that you think will inform the predictions.

Select the features to model

To choose the features that you think will predict the target feature:

  1. Click Add under the Horsepower and Cylinders features.

    Add cylinders to features to model

    In this example, Distil adds the selected features to the list of Features to Model. You can filter or change the Type  of any of the features to model.

    Cylinders and horsepower added as features that inform the prediction made by the model

    To remove a feature from the features to model

    Click Remove under the feature name in the Features to Model pane or click Remove All above the list of features.
    Remove feature from the features to model

  2. Note the distribution of categories for the Cylinders feature. Four, six and eight cylinder engines appear often, while three and five cylinder engines appear much less frequently.

    Distribution of cylinder values in the dataset
  3. Click the three-cylinder category to view samples that match the value in the Samples to Model From table.
  4. To exclude these samples from the model, click Exclude.
    Omit records with a specific categorical value
  5. Repeat steps 3–4 for the five-cylinder category as well.

  6. Review the updated Samples to Model From table. Click the column headers to sort by feature and check for extreme values that may indicate problems with the data. Note that several rows have no value for Horsepower.

    Record with no horsepower value

  7. To remove these records, click each row and then click Exclude.

    Omit records with 0 horsepower

  8. Click Excluded Samples to review the records you removed. There is a collection of three and five cylinder vehicles, as well as some four cylinder vehicles with no horsepower.

    Samples removed from consideration

Your model definition is now complete, and you can use your selections to create models.

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