Something is wrong; all the ROC metric values are missing (bartMachine R)

Question

when fitting a BART model via bartMachine package I get the title error.

Here is the code and dput:

#Response must be a factor
          train$occ <- as.factor(train$occ)
          levels(train$occ) <- c("C0", "C1")
          
          #Creating a tuning grid
          tune_grid <- expand.grid(num_trees = c(50, 100, 200),
                                   k = c(2, 3),
                                   alpha = 0.95,
                                   beta = 2,
                                   nu = 3)
          
          #Using caret for cross-validation
          train_control <- trainControl(method = "cv",
                                        number = 10,
                                        classProbs = TRUE,
                                        summaryFunction = twoClassSummary,
                                        allowParallel = TRUE)
          
          #Starting cluster
          cluster <- makeCluster(8)
          registerDoParallel(cluster)
          
          #Running the BRT model
          #Model training here
          bart_train <- caret::train(x = train[, 5:9],
                                     y = train$occ,
                                     method = "bartMachine",
                                     metric = "ROC",
                                     trControl = train_control,
                                     tuneGrid = tune_grid)
          
          #Ending cluster
          stopCluster(cluster)
          registerDoSEQ()

Now the dput from train data.frame

structure(list(x = c(-49.2180036048647, -49.588646107472, -49.4994660957961, 
-49.409070720487, -49.5901102247847, -49.408915914575), y = c(-28.8051270000448, 
-28.7079195821462, -28.7107590910968, -28.7091665158844, -28.6199868803577, 
-28.6218794939721), ua = c("ua_35", "ua_39", "ua_40", "ua_41", 
"ua_47", "ua_49"), occ = structure(c(1L, 1L, 1L, 1L, 1L, 1L), levels = c("C0", 
"C1"), class = "factor"), PC1 = c(5.45050585867435, 0.971417276490495, 
3.04696429464962, 3.49333347532713, -2.1314970593002, 1.60231066244416
), PC2 = c(1.62129971834298, -2.67253316161164, 0.803381999088846, 
1.24449786054891, -6.62041787415885, -1.15464748692714), PC3 = c(0.677239125000311, 
-0.800550473360275, -0.666475036424968, -0.386198549623231, -0.197769597835757, 
-0.445143448591713), PC4 = c(-4.01008804477917, 1.84301040539535, 
0.967638087266157, 0.0781875925367184, 0.994999464193385, 1.58963654917174
), PC5 = c(0.785837462504693, 0.0665561890147296, -0.72701888727977, 
-0.739597425424334, 0.712329685720884, -0.351229249996707), block = c(1L, 
1L, 1L, 1L, 1L, 1L)), row.names = c(10L, 12L, 13L, 14L, 15L, 
16L), class = "data.frame")

There are no NAs in my data, I double-checked and also ran previous models with the same data. The issue is only with method = ''bartMachine''