How to evaluate RMSE, MAE, and bias from confusion matrix?

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?