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Accuracy and confusion matrix

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The confusion matrix tells us in details where our classifier makes the most errors. As a reminder, in the case of binary classification, the confusion matrix is given as follows:

Confusion matrix

How would the perfect confusion matrix look like?

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Larger values on the main diagonal and smaller values for all other elements

Larger values in the first column and smaller values for all other elements

Smaller values on the anti-diagonal and larger values for all other elements

Smaller values on the main diagonal and larger values for all other elements

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