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clump_thickness
int64 | uniformity_of_cell_size
int64 | uniformity_of_cell_shape
int64 | marginal_adhesion
int64 | single_epithelial_cell_size
int64 | bare_nuclei
int64 | bland_chromatin
int64 | normal_nucleoli
int64 | mitoses
int64 | is_cancer
int64 |
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Breast cancer
The Breast cancer dataset from the UCI ML repository. Classify cancerousness of the given cell.
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| cancer | Binary classification | Is the cell clump cancerous? |
Usage
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 |
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