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
Health and Medicine
Associated Tasks
Classification, Regression
Feature Type
Real
# Instances
100
# Features
9
Dataset Information
Has Missing Values?
No
Introductory Paper
By David Gil, J. L. Girela, Joaquin De Juan, M. Jose Gomez-Torres, Magnus Johnsson. 2012
Published in Expert systems with applications
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| season | Feature | Continuous | no | |||
| age | Feature | Integer | Age | no | ||
| child_diseases | Feature | Binary | no | |||
| accident | Feature | Binary | no | |||
| surgical_intervention | Feature | Binary | no | |||
| high_fevers | Feature | Categorical | no | |||
| alcohol | Feature | Categorical | no | |||
| smoking | Feature | Categorical | no | |||
| hrs_sitting | Feature | Integer | no | |||
| diagnosis | Target | Binary | no |
0 to 10 of 10
Additional 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)
Dataset Files
| File | Size |
|---|---|
| fertility_Diagnosis.txt | 3 KB |
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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)
Gil, D. & Girela, J. (2012). Fertility [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5Z01Z.
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.