Balance Scale
Donated on 4/21/1994
Balance scale weight & distance database
Dataset Characteristics
Multivariate
Subject Area
Social Science
Associated Tasks
Classification
Feature Type
Categorical
# Instances
625
# Features
4
Dataset Information
Additional Information
This data set was generated to model psychological experimental results. Each example is classified as having the balance scale tip to the right, tip to the left, or be balanced. The attributes are the left weight, the left distance, the right weight, and the right distance. The correct way to find the class is the greater of (left-distance * left-weight) and (right-distance * right-weight). If they are equal, it is balanced.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| right-distance | Feature | Categorical | no | |||
| right-weight | Feature | Categorical | no | |||
| left-distance | Feature | Categorical | no | |||
| left-weight | Feature | Categorical | no | |||
| class name | Target | Categorical | no |
0 to 5 of 5
Additional Variable Information
1. Class Name: 3 (L, B, R) 2. Left-Weight: 5 (1, 2, 3, 4, 5) 3. Left-Distance: 5 (1, 2, 3, 4, 5) 4. Right-Weight: 5 (1, 2, 3, 4, 5) 5. Right-Distance: 5 (1, 2, 3, 4, 5)
Baseline Model Performance
Papers Citing this Dataset
By Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike. 2019
Published in ArXiv.
By Uday Shanthamallu, Jayaraman Thiagarajan, Huan Song, Andreas Spanias. 2018
Published in
By David Johnson, Caiming Xiong, Jason Corso. 2014
Published in ArXiv.
By Kwangmo Yang, Anastasiya Kolesnikova, Won Lee. 2013
Published in J. Inform. and Commun. Convergence Engineering.
0 to 5 of 5
Siegler,R.. (1994). Balance Scale. UCI Machine Learning Repository. https://doi.org/10.24432/C5488X.
@misc{misc_balance_scale_12,
author = {Siegler,R.},
title = {{Balance Scale}},
year = {1994},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5488X}
}pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset balance_scale = fetch_ucirepo(id=12) # data (as pandas dataframes) X = balance_scale.data.features y = balance_scale.data.targets # metadata print(balance_scale.metadata) # variable information print(balance_scale.variables)
Keywords
Creators
R. Siegler
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.