This competition includes the following files:

- **train.csv**: The training set with both features and target values (`price`).
  - Columns: `car_ID`, `feature_1`, `feature_2`, `feature_3`, ..., `price`.

- **test.csv**: The test set with the same features as the training set, but without the `price` column. You will predict the price for each car.
  - Columns: `car_ID`, `feature_1`, `feature_2`, `feature_3`, ...

- **sample_submission.csv**: A sample submission file showing the correct format for submitting your predictions. It includes `car_ID` and `PredictedPrice` (which you will fill with your predicted values).
  - Columns: `car_ID`, `PredictedPrice`.

- **metaData.csv**: Additional information about the dataset, describing each feature.
  - Columns: `column_name`, `description`, `data_type`.

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### **What You’re Predicting**

You are predicting the **price** of a car based on its features. The `price` is only available in the training set, and you will make predictions for the test set.

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### **Acronyms You’ll Encounter**

- **RMSE**: Root Mean Squared Error (the evaluation metric).
- **CSV**: Comma-Separated Values (file format).

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This is the basic information you'll need to get started with the competition. 

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format
*   **Data_dict.csv** - supplemental information about the data