This article describes how to create a Prediction Accuracy Table (Classification Table) to validate a Linear Discriminant Analysis model.
Requirements
- A Displayr document containing a Linear Discriminant Analysis output created using a test/train sample split as described here.
Please note this requires the Data Stories module or a Displayr license.
Method
- Select the Linear Discriminant Analysis output on the page.
- From the Filter(s) drop-down box in the object inspector, choose Testing sample.
- Within Diagnostics, click on Prediction-Accuracy Table.
The output from my example is shown below, with a training set accuracy of 57.81%.
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How to Run Linear Discriminant Analysis