Performance (Regression)

The Performance tab displays the test results for several common test metrics.

The Performance tab for Regression model show these measures for all models:

• All Measures (default). The Measure list enables you to select the measures to display. By default, All Measures are displayed. The selected measures are displayed as graphs. If you are comparing test results for two or more models, then the different models have graphs in different colors.

• Predictive Confidence: Measures how much better the predictions of the mode are than those of the naive model. Predictive Confidence for regression is the same measure as Predictive Confidence for classification.

• Mean Absolute Error

• Root Mean Square Error

• Mean Predicted Value: The average of the predicted values.

• Mean Actual Value: The average of the actual values.

Two Sort By lists specify sort attribute and sort order. The first Sort By list contains Measure, Creation Date, or Name (the default). The second Sort By list contains the sort order: ascending or descending (default).

The top pane displays these measures as histograms.

The bottom pane contains the Models grid that supplements the information presented in the graphs. You can minimize the table using the splitter line.

The Models grid has the following columns:

• Name, the name of the model along with color of the model in the graphs.

• Predictive Confidence

• Mean Absolute Error

• Root Mean Square Error

• Mean Predicted Value

• Mean Actual Value

• Algorithm

• Creation Date (and time)

By default, results for the selected model are displayed. To change the list of models, click and deselect any models for which you do not want to see results. If you deselect a model, both the histograms and the detail information for that model are not displayed.