I would like to use Bias-Variance trade-off to evaluate training set size in a classification problem. There are two classes which are not balanced (~70/30) and it seems that the common use of misclassification error is not good enough. Which performance measures should I use in this case? Thanks!

I would like to use Bias-Variance trade-off to evaluate training set size in a classification problem. There are two classes which are not balanced (~70/30) and it seems that the common use of misclassification error is not good enough. Which performance measures should I use in this case?

i would like to use Bias-Variance trade-off to evaluate training set size in a classification problem. There are two classes which are not balanced (~70/30) and it seems that the common use of misclassification error is not good enough. Which measures should i use in that case? Thanks!

I would like to use Bias-Variance trade-off to evaluate training set size in a classification problem. There are two classes which are not balanced (~70/30) and it seems that the common use of misclassification error is not good enough. Which performance measures should I use in this case? Thanks!