# 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         |
task_categories:tabular-classification size_categories:n<1K language:en license:cc breast tabular_classification binary_classification UCI region:us
{"language": ["en"], "license": "cc", "size_categories": ["n<1K"], "task_categories": ["tabular-classification"], "pretty_name": "Breast", "tags": ["breast", "tabular_classification", "binary_classification", "UCI"], "configs": ["cancer"]}
TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #breast #tabular_classification #binary_classification #UCI #region-us 

Breast cancer
=============


The Breast cancer dataset from the UCI ML repository.
Classify cancerousness of the given cell.


Configurations and tasks
========================


Configuration: cancer, Task: Binary classification, Description: Is the cell clump cancerous?


Usage
=====


Features
========


Name: 'clump\_thickness', Type: 'int8', Description: Thickness of the clump
Name: 'uniformity\_of\_cell\_size', Type: 'int8', Description: Uniformity of cell size
Name: 'uniformity\_of\_cell\_shape', Type: 'int8', Description: Uniformity of cell shape
Name: 'marginal\_adhesion', Type: 'int8', Description: Marginal adhesion
Name: 'single\_epithelial\_cell\_size', Type: 'int8', Description: single\_epithelial\_cell\_size
Name: 'bare\_nuclei', Type: 'int8', Description: bare\_nuclei
Name: 'bland\_chromatin', Type: 'int8', Description: bland\_chromatin
Name: 'normal\_nucleoli', Type: 'int8', Description: normal\_nucleoli
Name: 'mitoses', Type: 'int8', Description: mitoses
Name: is\_cancer, Type: 'int8', Description: Is the clump cancer



TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #breast #tabular_classification #binary_classification #UCI #region-us 

passage: TAGS
#task_categories-tabular-classification #size_categories-n<1K #language-English #license-cc #breast #tabular_classification #binary_classification #UCI #region-us 
