Goal
It is your job to predict the sales price for each house. For each Id in the test set, you must predict the value of the SalePrice variable.
Metric
Submissions are evaluated on
[Root-Mean-Squared-Error](https://en.wikipedia.org/wiki/Root-mean-square_deviation)
(RMSE) between the predicted value and the observed sales price. (Taking logs means that errors in predicting expensive houses and cheap houses will affect the result equally.)
Submission file format
The file should contain a header and have the following format:
Unique_idx	price
15544	459000
17454	445000
21548	1057000
You can download an example submission file (sample_submission.csv) on the <a href="https://www.kaggle.com/c/cu-regression-challenge/data>Data page
.