PUBDEV-8927: Remove redundant predictors if found for backward mode #6446
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This PR fixes the issue in JIRA: https://h2oai.atlassian.net/browse/PUBDEV-8927
I added support to remove multiple predictors at the beginning if we detected collinear columns for backward mode of modelselection.
Basically, if I detected that we are the beginning of the model building process, after the first model is built, we will check and see if there are columns that are not active. This is done by looking at the coefficient indices stored in best submodel idxs. If the idxs is null, that means all coefficients are used.
Added a python test to make sure the fix is correct.