The evaluation is based on RMSE

![RMSE](https://www.includehelp.com/ml-ai/Images/rmse-1.jpg)

where "Predicted" is the predicted value, "Actual" is the original value, and N is the number of rows in the test data.

You may read further about RSME here: http://statweb.stanford.edu/~susan/courses/s60/split/node60.html

Source: Stanford University

Submission File
For each row in the test set, you must predict the value of the target as described on the data tab, each on a separate row in the submission file. The file should contain a header and have the following format:

ID, MEDV
400,11.0
401,9.0
402,10.5
403,22.0
etc.