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musamawaheed/Project4_BoschProductionPerformancePrediction
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Eight code files are provided for this project. The results shown in the report can be reproduced by using those files in combination with the data (available at https://www.kaggle.com/c/bosch-production-line-performance/data) and the parameter-settings explained in the text. Three files show the applied feature selection methods. - feature_selection_modelbased.py - feature_selection_univariate.py - feature_selection_xgb.py In same cases the feature selection files were taken to create new datasets that were then used by the models. The files for the models are: - isolation_forest.py - random_forest_numeric.py - random_forest_numeric_date.py - xgb_numeric.py - xgb_numeric_date.py
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