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README
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README
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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"