Datasets:
metadata
configs:
- config_name: fertility
data_files:
- path: fertility/train.csv
split: train
default: true
language: en
license: cc
pretty_name: Fertility
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
Fertility
The Fertility dataset from the UCI ML repository. Classify fertility abnormalities of patients.
Configurations and tasks
| Configuration | Task | Description |
|---|---|---|
| encoding | Encoding dictionary | |
| fertility | Binary classification | Does the patient have fertility issues? |
Usage
from datasets import load_dataset
dataset = load_dataset("mstz/fertility", "fertility")["train"]
Features
| Feature | Type |
|---|---|
| season_of_sampling | [string] |
| age_at_time_of_sampling | [int8] |
| has_had_childhood_diseases | [bool] |
| has_had_serious_trauma | [bool] |
| has_had_surgical_interventions | [bool] |
| has_had_high_fevers_in_the_past_year | [string] |
| frequency_of_alcohol_consumption | [float16] |
| smoking_frequency | [string] |
| number_of_sitting_hours_per_day | [float16] |