I am performing regression task using *random forest**.In my prediction set I am having *new levels for categorical variable** which are not present in training data .Currently I am performing one hot encoding to handle this.At present I am not getting considerable results. This article is saying that it is not good to perform one hot encoding.How to handle this case?
New values for categorical variable in Prediction dataset
machine learning;statistics;regression;random forest;categorical data