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The Diagnostics tab for GLM Classification displays diagnostics for each Case ID in the build data. You can filter the results.
Note: Diagnostics are not generated by default. To generate diagnostics, you must specify a Case ID and select Generate Row Diagnostics in Advanced Settings. |
The following information is displayed in the Diagnostics grid:
CASE_ ID
TARGET_VALUE for the row in the training data
TARGET_VALUE_PROB, probability associated with the target value
HAT, value of diagonal element of the HAT matrix
WORKING_RESIDUAL, the residual with respect to the adjusted dependent variable
PEARSON_RESlDUAL, the raw residual scaled by the estimated standard deviation of the target
DEVIANCE_RESIDUAL, contribution to the overall goodness of the fit of the model
C, confidence interval displacement diagnostic
CBAR, confidence interval displacement diagnostic
DIFDEV, change in the deviance due to deleting an individual observation
DIFCHISQ, change in the Pearson chi-square
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