metadata
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 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 |