The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider removing the loading script and relying on automated data support (you can use convert_to_parquet from the datasets library). If this is not possible, please open a discussion for direct help.

YAML Metadata Error: "configs[0]" must be of type object
YAML Metadata Error: "configs[1]" must be of type object

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]
Downloads last month
37