Skip to content

lhenkelm/coopetition-addition-baseline

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 

Repository files navigation

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).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%