---
configs:
- config_name: cancer
  data_files:
  - path: cancer/train.csv
    split: train
  default: true
language: en
license: cc
pretty_name: Breast
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
---
# Breast cancer
The [Breast cancer dataset](https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Original%29) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Classify cancerousness of the given cell.

# Configurations and tasks
| **Configuration** | **Task**                  | Description                                                   |
|-------------------|---------------------------|---------------------------------------------------------------|
| cancer            | Binary classification     | Is the cell clump cancerous?                                  |

# Usage
```python
from datasets import load_dataset

dataset = load_dataset("mstz/breast", "cancer")["train"]
```

# Features
| **Name**                      |**Type**|**Description**             |
|-------------------------------|--------|----------------------------|
|`clump_thickness`              |`int8`  |Thickness of the clump      |
|`uniformity_of_cell_size`      |`int8`  |Uniformity of cell size     |
|`uniformity_of_cell_shape`     |`int8`  |Uniformity of cell shape    |
|`marginal_adhesion`            |`int8`  |Marginal adhesion           |
|`single_epithelial_cell_size`  |`int8`  |single_epithelial_cell_size |
|`bare_nuclei`                  |`int8`  |bare_nuclei                 |
|`bland_chromatin`              |`int8`  |bland_chromatin             |
|`normal_nucleoli`              |`int8`  |normal_nucleoli             |
|`mitoses`                      |`int8`  |mitoses                     |
|**is_cancer**                    |`int8`  |Is the clump cancer         |