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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 …
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