Hi everyone,

I was working on a dataset, where logistic regression was performing better than randomforest. However, I decided to create an ensemble of both the models since the correlation between the predictions was quite low. I am working in R and hence googled out to find caretEnsemble package for ensembling the 2 models.

The following code was written by me:

```
library(caretEnsemble)
control <- trainControl(method="repeatedcv", number=10, repeats=3, savePredictions=TRUE, classProbs=TRUE)
algorithmList <- c('rf', 'glm')
set.seed(9)
models <- caretList(target~., data=train_pca, trControl=control, methodList=algorithmList)
```

However, the following error occurred :

Something is wrong; all the RMSE metric values are missing:

RMSE Rsquared

Min. : NA Min. : NA

1st Qu.: NA 1st Qu.: NA

Median : NA Median : NA

Mean :NaN Mean :NaN

3rd Qu.: NA 3rd Qu.: NA

Max. : NA Max. : NA

NA’s :3 NA’s :3

Error in train.default(x, y, weights = w, …) : Stopping

In addition: There were 50 or more warnings (use warnings() to see the first 50)

Could you please help me fix this error.

Thanks in advance!