@Rohit_Nair wrote:
TrainData <- train[,1:119] # All the variables selected
TrainClasses <- train[,120] #Target variable (categorical) eg. (1,2,3,4,5,6,7,8)
xgboost1 <- train(TrainData, TrainClasses,
+ method = "xgbTree",
+ preProcess = c("center", "scale"),
+ tuneLength = 10,
+ trControl = trainControl(method = "cv"))
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 :400 NA's :400
Error in train.default(TrainData, TrainClasses, method = "xgbTree", preProcess = c("center", :
Stopping
In addition: There were 50 or more warnings (use warnings() to see the first 50)Can anyone help me with this error.? How to get rid of this error.
"Something is wrong; all the RMSE metric values are missing:"Dataset : Kaggle Prudential Life Insurance problem
https://www.kaggle.com/c/prudential-life-insurance-assessment/data
Posts: 5
Participants: 2