Re: [R] Prediction accuracy from Bagging with continuous data

On Thu, Feb 10, 2011 at 8:45 AM, Simon Gillings wrote: > I am using bagging to perform Bagged Regression Trees on count data (bird > abundance in Britain and Ireland, in relation to climate and land cover > variables). Predictions from the final model are visually believable but I > would reall

Re: [R] Prediction accuracy from Bagging with continuous data

If you do use correlation, you should think about doing it on the log or sort scale. The train() function in the caret package can estimate performance using resampling. There are examples in ?train that show how to define custom performance measures (I think it shows how to do this with MAD es

[R] Prediction accuracy from Bagging with continuous data

I am using bagging to perform Bagged Regression Trees on count data (bird abundance in Britain and Ireland, in relation to climate and land cover variables). Predictions from the final model are visually believable but I would really like a diagnostic equivalent to classification success that ca