Hi- We're currently working on a binary classifier using Mahout's AdaptiveLogisticRegression class. We're trying to determine whether or not the models are suffering from high bias or variance and were wondering how to do this using Mahout's APIs? I can easily calculate the cross validation error and I think I could detect high bias or variance if I could compare that number to my training error, but I'm not sure how to do this. Or, any other ideas would be appreciated!
Thanks, Ian
