If the classification matrix from a discriminant analysis shows a high percentage of correct classification, then we can be confident that the classification will work well for other populations.

Question

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A high percentage of correct classification in one population does not necessarily guarantee good classification in other populations. The discriminant analysis model may have overfit to the specific characteristics of the sample population, leading to poor classification in other populations. It is important to validate the model on independent datasets to assess its generalizability.

If the Classification Matrix from a Discriminant Analysis Shows a High