So I have a data set I have successfully used to train a model, and have decent results. I am using a Two Class Boosted Decision tree for a Boolean output. So far so good.
I now want to analyze each column of my data set and remove any column that is not a meaningful influence on the outcome. I see statistics on columns in my data set:
But I don't see whether a column has a strong relationship with the output variable. Any clues?