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Addition coopetition baseline

This repository will help you get started with coopetitions. The task is to modify the solution.py, so it stores the sum of two columns in a separate data.predict file into an output directory.

Metrics

Your solution will be evaluated by Mean Absolute Error metric:

from sklearn.metrics import mean_absolute_error
def scorer(solution, prediction):
    return mean_absolute_error(solution, prediction) 

It should give result as low as possible (absolute minimum is equal to zero).

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  • Python 100.0%