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R Data Analysis Cookbook - Second Edition by Kuntal Ganguly

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Generating error/classification confusion matrices

You might build a classification model and want to evaluate the model by comparing the model's predictions with the actual outcomes. You will typically do this on the holdout data. Getting an idea of how the model does in training data itself is also useful, but you should never use that as an objective measure.

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