## Goal
Your goal is to predict the price for lodging/homestay based on different attributes in the dataset. You can make a maximum of 20 submissions per day.

## Metric
The evaluation metric for this competition is the Root Mean Squared Error (MSE). The RMSE is the square root of the averaged squared difference between the target value and the value predicted by the model.
![RMSE Formula](https://miro.medium.com/max/520/0*TO7BkvQwtnvVzkK4.png)

The final winner of the competition will be determined based on a private leaderboard. A public leaderboard will also be available for the participants. In order to determine the score on the public leaderboard, 60% of the evaluation data is used. The other 40% of the evaluation data is used to create a private and final leaderboard. The team that ranks first on the private leaderboard is the winner of the competition. This team is not necessarily the team that ranked first on the public leaderboard.

## What’s the difference between a private and public leaderboard?
The Kaggle leaderboard has a public and private component to prevent participants from “overfitting” to the leaderboard. If your model is “overfit” to a dataset then it is not generalizable outside of the dataset you trained it on. This means that your model would have low accuracy on another sample of data taken from a similar dataset.

### Public Leaderboard
For all participants, the same 60% of predictions from the test set are assigned to the public leaderboard. The score you see on the public leaderboard reflects your model’s accuracy on this portion of the test set.

### Private Leaderboard
The other 40% of predictions from the test set are assigned to the private leaderboard. The private leaderboard is not visible to participants until the competition has concluded. At the end of a competition, we will reveal the private leaderboard so you can see your score on the other 40% of the test data. The scores on the private leaderboard are used to determine the competition winners. Getting Started competitions are run on a rolling timeline so the private leaderboard is never revealed.

## Submission File Format
To be added******