| Working with Nodes That Assess |
Now that you have created four predictive models and briefly examined
assessment statistics for each of them, you can compare the models in order
to select the model that best predicts your target.
You use the Model Comparison node to assess how well the Regression,
Neural, AutoNeural, and Decision Tree models performed. The comparison is
based on the expected profit that would result from implementing the model.
In the last set of tasks, you learn how to produce and score new data using
the Score node. The scored data identifies the candidates who are most likely
to donate money.
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