Balloons
Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment
Dataset Characteristics
Multivariate
Subject Area
Social Science
Associated Tasks
Classification
Feature Type
Categorical
# Instances
16
# Features
4
Dataset Information
Additional Information
There are four data sets representing different conditions of an experiment. All have the same attributes. a. adult-stretch.data Inflated is true if age=adult or act=stretch b. adult+stretch.data Inflated is true if age=adult and act=stretch c. small-yellow.data Inflated is true if (color=yellow and size = small) or d. small-yellow+adult-stretch.data Inflated is true if (color=yellow and size = small) or (age=adult and act=stretch)
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| color | Feature | Categorical | no | |||
| size | Feature | Categorical | no | |||
| act | Feature | Categorical | no | |||
| age | Feature | Categorical | Age | no | ||
| inflated | Target | Categorical | no |
0 to 5 of 5
Additional Variable Information
(Classes Inflated T or F) Color: yellow, purple size: large, small act: stretch, dip age: adult, child inflated: T, F
Papers Citing this Dataset
By Frederik Janssen, Johannes Fürnkranz. 2009
Published in In Proceedings of the SIAM International Conference on Data Mining (SDM-09.
0 to 1 of 1
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset balloons = fetch_ucirepo(id=13) # data (as pandas dataframes) X = balloons.data.features y = balloons.data.targets # metadata print(balloons.metadata) # variable information print(balloons.variables)
Pazzani,Michael. Balloons. UCI Machine Learning Repository. https://doi.org/10.24432/C5BP4D.
@misc{misc_balloons_13,
author = {Pazzani,Michael},
title = {{Balloons}},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5BP4D}
}Creators
Michael Pazzani
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.