How to resolve Not enough distinct predictions to compute area under the ROC curve error in gbm

r
gbm
#1

Hello,

I was trying to use gbm for one of the classification problems but I am getting an error:

My code for the gbm:

churn.gbm <- gbm(formula = Churned ~ .,
                 distribution = "bernoulli",data = logit.data,
                 n.trees = 1000,interaction.depth = 3,
                 shrinkage = 0.01,cv.folds = 10)
best.iter <- gbm.perf(churn.gbm,method="OOB")
print(best.iter)
churn.predict <- predict(churn.gbm,
                         logit.data,
                         n.trees = best.iter,
                         metric = "ROC")
churn.roc <- roc(logit.data$Churned,churn.predict)

How can this be solved??Can someone please help me with this??