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I have a train and test dataset. Both have an ID, Polynomial label (7 different entries) and 200 various numerical variables. My task is to predict the Polynomial label from the test data.
I have had varying results with w-RandomForest. Any suggestions on:
1. A different model better suited for this type of problem
2. Variable treatment before modelling.
Any suggestions/help would be highly appreciated.