kaggle_Microsoft_malware_full
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This folder contains code to run on the full data set data is not included. please copy the train folder, test folder, trainLabels.csv and samplesubmission.csv in this folder. Before run, please change Xgboost wrapper path accordingly in xgboost_multi.py To run: # single model ./single_model.sh # if everying goes well, it should give a 0.0029 private LB # best ensemble model ./semi_ensemble.sh # if everying goes well, it should give a 0.0023 private LB