Compare Your Models

You can compare the performance of these two models using the model comparison visualization. In the explorer, model comparison requires that the response variable, level, and group by variable are identical in the compared models. The effects used in each model can differ.
To compare the models in this example, complete the following steps:
  1. Click model comparison to create a new model comparison.
  2. In the Model Comparison window, select Vehicle Type in the Response field. Select TRUCK in the Level field.
  3. The logistic regression and decision tree should be available for comparison. Click Dual Selector between the Available models area and the Selected models area to add both visualizations to the model comparison.
  4. Click OK.
  5. The default model comparison statistic is the Misclassification rate. In this example, the logistic regression outperforms the decision tree. That is, it misclassifies significantly fewer observations than the decision tree. Use the details table to compare all of the available fit statistics. From these statistics, it is obvious that the logistic regression outperforms the decision tree.
  6. Save the exploration.
    Note: Model comparisons do not persist between sessions. If you sign out of SAS Visual Analytics and want to return to this model comparison, then you must re-create it.
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Last updated: August 16, 2017