metadata
configs:
- config_name: survival
data_files:
- path: survival/train.csv
split: train
default: true
language: en
license: cc
pretty_name: Haberman
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
Haberman
The Haberman dataset from the UCI ML repository. Has the patient survived surgery?
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| sruvival | Binary classification | Has the patient survived surgery? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/haberman", "survival")["train"]