Fertility
Donated on 1/16/2013
100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits
Dataset Characteristics
Multivariate
Subject Area
Life Science
Associated Tasks
Classification, Regression
Feature Type
Real
# Instances
100
# Features
10
Dataset Information
Additional Information
Provide all relevant information about your data set.
Has Missing Values?
No
Variable Information
Season in which the analysis was performed. 1) winter, 2) spring, 3) Summer, 4) fall. (-1, -0.33, 0.33, 1) Age at the time of analysis. 18-36 (0, 1) Childish diseases (ie , chicken pox, measles, mumps, polio) 1) yes, 2) no. (0, 1) Accident or serious trauma 1) yes, 2) no. (0, 1) Surgical intervention 1) yes, 2) no. (0, 1) High fevers in the last year 1) less than three months ago, 2) more than three months ago, 3) no. (-1, 0, 1) Frequency of alcohol consumption 1) several times a day, 2) every day, 3) several times a week, 4) once a week, 5) hardly ever or never (0, 1) Smoking habit 1) never, 2) occasional 3) daily. (-1, 0, 1) Number of hours spent sitting per day ene-16 (0, 1) Output: Diagnosis normal (N), altered (O)
Gil,David and Girela,Jose. (2013). Fertility. UCI Machine Learning Repository. https://doi.org/10.24432/C5Z01Z.
@misc{misc_fertility_244,
author = {Gil,David and Girela,Jose},
title = {{Fertility}},
year = {2013},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5Z01Z}
}pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset fertility = fetch_ucirepo(id=244) # data (as pandas dataframes) X = fertility.data.features y = fertility.data.targets # metadata print(fertility.metadata) # variable information print(fertility.variables)
Creators
David Gil
Jose Girela
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.