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--- |
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configs: |
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- config_name: cancer |
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data_files: |
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- path: cancer/train.csv |
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split: train |
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default: true |
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language: en |
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license: cc |
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pretty_name: Breast |
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size_categories: 1M<n<10M |
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tags: |
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- tabular_classification |
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- binary_classification |
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- multiclass_classification |
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task_categories: |
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- tabular-classification |
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--- |
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# Breast cancer |
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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). |
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Classify cancerousness of the given cell. |
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# Configurations and tasks |
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| **Configuration** | **Task** | Description | |
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|-------------------|---------------------------|---------------------------------------------------------------| |
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| cancer | Binary classification | Is the cell clump cancerous? | |
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# Usage |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("mstz/breast", "cancer")["train"] |
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``` |
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# Features |
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| **Name** |**Type**|**Description** | |
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|-------------------------------|--------|----------------------------| |
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|`clump_thickness` |`int8` |Thickness of the clump | |
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|`uniformity_of_cell_size` |`int8` |Uniformity of cell size | |
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|`uniformity_of_cell_shape` |`int8` |Uniformity of cell shape | |
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|`marginal_adhesion` |`int8` |Marginal adhesion | |
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|`single_epithelial_cell_size` |`int8` |single_epithelial_cell_size | |
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|`bare_nuclei` |`int8` |bare_nuclei | |
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|`bland_chromatin` |`int8` |bland_chromatin | |
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|`normal_nucleoli` |`int8` |normal_nucleoli | |
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|`mitoses` |`int8` |mitoses | |
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|**is_cancer** |`int8` |Is the clump cancer | |
