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1) About This project is a solution to the Kaggle Mercedes contest (https://www.kaggle.com/c/mercedes-benz-greener-manufacturing). Its task is to reduce the time it takes to test a new car. The data is a .csv file containing, on each line, the test results for that given car. It is a multi dimensional data. The y column is the most important one, it contains the total time to run all tests for that given car. Our task: build (from the training data) a classifier, that for a new entry will be able to predict the value of y column. Our solution: we have writter several classifiers to do this task, so far with average results. 2) How to run the program - first you must install all packages in the PREREQUISITES files - data is already read, simply run "python catboost_classification.py"