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Classification Plot Classification Results



The Classification plot can be used to show the results of classification using a trained classifier.



At the top of the viewer is the legend. Dark green is the color of the predicted class and red is the color of the comparison class, if one is selected. You may choose as a comparison variable any variable of the same variable type as the classifier associated with the same dataset as you are making predictions for.


Each row (sample) has:



1. Click a Classified item in the Experiments navigator. The item is highlighted.

2. Select Classification Plot from the Predict menu, or right-click the item and select Classification Plot from the shortcut menu. A Classification plot of the classification results is displayed.

3. In the legend, set the Comparison Variable. The classification plot is updated using the comparison variable information.



If the variable you want does not appear in the Comparison variable drop-down list, it may have been imported as a different variable type. Use the Variable Manager to see all the variables available for a given dataset, and what types are assigned to each.


Related Topics:

Create ANN Classifier


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