# SMSSpam

SMS Spam Collection dataset.

The data contains 5,574 items and 1 feature (i.e. SMS body). Spam messages represent 13.4% of the dataset. The goal is to predict whether an SMS is a spam or not.

## Attributes

- **desc**

  Return the description from the docstring.
- **is\_downloaded**

  Indicate whether or the data has been correctly downloaded.
- **path**

## Methods

> [!NOTE]
>
> **download**

> [!NOTE]
>
> **take**
>
> Iterate over the k samples.
>
> **Parameters**
>
> - **k** — `int`

## References

- [Almeida, T.A., Hidalgo, J.M.G. and Yamakami, A., 2011, September. Contributions to the study of SMS spam filtering: new collection and results. In Proceedings of the 11th ACM symposium on Document engineering (pp. 259-262).](<http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/doceng11.pdf>)