Goal

It is your job to predict the score for each student. For each S/N in the test set, you must predict the value of the Score variable.

Metric

Submissions are evaluated on Root Mean Squared Error (RMSE) The square root of the mean/average of the square of all of the error. RMSE is very commonly used and makes for an excellent general purpose error metric for numerical predictions. Compared to the similar Mean Absolute Error, RMSE amplifies and severely punishes large errors.

Submission File Format You can download an example submission file (sample_submission.csv) on the Data page.