Hey everyone,
I am trying to run a multiple-output Random Forest prediction using the randomForestSRC package using the rfsrc() command. I'm trying to run with ntree = 10, using my response variables [ 21 ] using a dataframe of [ 3670x217 ].
Line of code I'm trying to execute:
#training the RF model
rf_model <- rfsrc(response_formula_subset, data = train_data, na.action = "na.omit", ntree = 10)
R keeps showing this message with the symbol of a bomb saying R encountered a fatal error, needs to quite session and asking to restart the session.
I tried using a subset of the data (as you can see in the code, the subset includes only 5 responses). There would be roughly just under 200 predictors.
Really helpful if someone can explain why this is happening!
Thanks in advance!
Looks like a memory related problem. Have you tried with
save.memory = TRUE
?Just tried it, displaying the same error and R crashes