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Test metrics assess how accurately the model predicts the known values.
Test settings specify which metrics to calculate and control the calculation of the metrics.
Data Miner calculates the following metrics for classification models:
Performance measurements Predictive Confidence, Average Accuracy, Overall Accuracy, and Cost
Performance Matrix, also know as Confusion Matrix
To view test results, first test the model or models in the node:
If you tested the models using the default test in the Classification node, run the node and then right-click the node. Select View Test Results and select the model that you are interest in. The Classification Model Test Viewer launches. To compare the test results for all models in the node, select Compare Test Results.
If you tested the models using a Test node, run the Test node and then right-click the node. Select View Test Results and select the model that you are interested in. The Classification Model Test Viewer launches. To compare the test results for all models in the node, select Compare Test Results.