metric

README.md

@@ -2,3 +2,12 @@
 
 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).