random forest- Why do i get an error na.fail.default

Question

training_set$left <- factor(training_set$left)
test_set$left <- factor(test_set$left)

When I type

classifier3 <- randomForest(left~., data = training_set, ntree = 50)

I get the error

Error in na.fail.default(list(left = c(2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, : missing values in object

Please edit your question to make it reproducible. A reproducible example consists of sample data, code and expected output. Use `dput(head(df,20))` to add sample data. Provide more context, not just code. — NelsonGon, Jan 07 '19 at 06:47

Claudiu Papasteri · Answer 1 · 2019-01-07T09:05:47.207

0

Unfortunately, I can't post this as comment because I don't have enough reputation. You will find the answer here: Link. In case of na.fail.default use na.exclude() on the whole data frame at once or an imputation method like na.roughfix from randomForest.

edited Jan 07 '19 at 09:05

answered Jan 07 '19 at 08:57

Claudiu Papasteri

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random forest- Why do i get an error na.fail.default

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