This page provides an overview of the data files provided for the Wisconsin breast cancer dataset competition. It includes information about the files and their formats, as well as details about the columns and their definitions.

Participants should find the following information helpful in understanding the dataset:

- File Descriptions:
    - **train.csv**: Contains the training data. You should split it to "training set" and "validation set" in your model-training phase.
    - **test.csv**: Contains the test data. It has no labels, which is for students to test their models.
    - **sample_submission.csv**: A sample submission file in the correct format.
- Column Definitions:
    - `id`: Unique identifier for each data instance.
    - `label`: Target variable column indicating the diagnosis (`M`: Malignant, `B`: Benign).
    - Other columns: 30 numeric features of the dataset. 

Please note that specific details and additional information about the dataset may be provided in the respective file's documentation or in the competition's description.

For the purpose of this competition, participants should pay attention to the `id` column as it is used to correlate the predictions in the submission file.

If you have any questions regarding the dataset, feel free to ask in the discussion forums or consult the provided documentation.