**Evaluation Metric:** Submissions will be evaluated based on their Root Mean Squared Error (RMSE) with respect to the true 't' values in the test set. The RMSE is commonly used to measure the accuracy of regression models.

$$
\text{RMSE} = \sqrt{\frac{1}{n} \sum_{i=1}^{n} (y_i - \hat{y}_i)^2}
$$

**Scoring:** A lower RMSE indicates better model performance. The final leaderboard will rank participants according to their RMSE score and their code styles, data preprocessing, data visualization, and explanation of the reasoning behind their approach.

## Submission File
For each 'id' in the test set, you must predict a probability for the TARGET variable 't'. The file should contain a header and have the following format:

    ID,TARGET
    2,0
    5,0
    6,0
    etc.

**Good Luck!** We wish all participants the best of luck in the challenge. May the best data scientists succeed in helping Anya awaken her cosmic companion, Gojo.