I'm dealing with classification problems, and I'm trying to specify a custom scoring metric (recall@p, ROC, etc.) that depends on not just the class output but the probability estimates, so that caret::train can choose the optimal tuning parameters based on this metric.
However, when I supply a trainControl summaryFunction, the data given to it contains only class predictions, so the only metrics possible are things like accuracy, kappa, etc. Is there any way to do this that I'm looking? If not, could I put this in as a feature request? Thanks! -- Yang Zhang http://yz.mit.edu/ ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
