How to evaluate RMSE, MAE, and bias from confusion matrix?
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I have confusion matrix representing the results of my classification:
A = 3593 % True Positive
B = 305 % False Positive
C = 953 % False Negative
D = 40392 % True Negative
Is it possible from these data evaluate root-mean-squared-error, mean-absolute-error, and bias?
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