The evaluation metric for this competition is the Root Mean Squared Error (RMSE).

RMSE is a commonly used metric for evaluating the accuracy of a regression model. It measures the average difference between the predicted values and the actual values. The lower the RMSE, the better the model is at predicting the actual values.

https://en.wikipedia.org/wiki/Root-mean-square_deviation
## Submission File
For each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:

    id,Target
    2,0
    5,0
    6,0
    etc.