The assessment plots available depend on the models being compared. For classification models, the plots displayed are Lift, ROC, and Misclassification. For numerical models, the plots displayed
are observed response value and predicted response value.
Fit Statistic
The Fit
Statistic plot displays the criterion specified in the Fit
statistic property. In the following image, the observed
average value is plotted for a linear regression and a GLM model.
The champion model is indicated in the plot. It is displayed different
from the other models.
Details Table
When you click at the top of the model pane, the details panel is
displayed at the bottom of the model pane. The details table contains
the following information:
Statistics
Provides summary statistics for each model in the comparison. The value in the Selected column,
either Yes or No, indicates which model the model comparison tool prefers based on the criterion specified in the Fit statistic property.
However, the statistics listed in the details table can differ from
those listed in the Fit statistic property.
Variable Importance
Indicates which variables
had the greatest impact on each of the models in the comparison.