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Random forest is a machine-learning method based on combining the outputs of many decision trees.
1
vote
Prediction with randomForest (R) when some inputs have missing values (NA)
You can use na.roughfix when you are predicting more than 1 sample (i.e. predicting for >1 row of data).
For example:
data(iris)
# Make some of the data missing
na.row<-c(146,150)
na.col<-c(3,5)
iris …