Zach Deane-Mayer

I'd be happy to get a pull request!

try using `devtools::load_all()` instead.

Then do `devtools::test()` and `devtools::check()` when you're done writing code.

The problem is that your models all use different re-sampling folds, because you do not explicitly define them in your trainControl. Please use the `caretList` helper function: ``` R library(caret)...

If you must create the models one at a time, you MUST specify an explicitly index to the trainControl: ``` R library(caret) col

This is a general problem with factors, caret, and caret ensemble. Essentially, we factor your response, and then treat the first class as positive. In this case, it means "no"...

It turns out I don't understand the question. Do you expect the predictions from the model to be perfect?

Could be a good models vs a bad model, I dunno!

Can you try the dev version on github and see if you have the same problem?

Thanks for the heads up! I've got a few other maintenance things to do on `caretEnsemble` too. Sounds like I should prepare another CRAN release soon!