To determine whether the discriminant analysis can be used as a good predictor,information provided in the "confusion matrix" is used.

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The confusion matrix provides information about the performance of the model in terms of correctly and incorrectly classified cases. From this information, we can calculate various metrics such as overall accuracy, sensitivity, specificity, and precision. These metrics can be used to evaluate the performance of the discriminant analysis model and determine if it is a good predictor or not.

To Determine Whether the Discriminant Analysis Can Be Used as a Good