Superconductivty Data
Donated on 10/11/2018
Two file s contain data on 21263 superconductors and their relevant features.
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Regression
Feature Type
Real
# Instances
21263
# Features
81
Dataset Information
Additional Information
There are two files: (1) train.csv contains 81 features extracted from 21263 superconductors along with the critical temperature in the 82nd column, (2) unique_m.csv contains the chemical formula broken up for all the 21263 superconductors from the train.csv file. The last two columns have the critical temperature and chemical formula. The original data comes from http://supercon.nims.go.jp/index_en.html which is public. The goal here is to predict the critical temperature based on the features extracted.
Has Missing Values?
No
Introductory Paper
By K. Hamidieh. 2018
Published in Computational materials science
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| number_of_elements | Feature | Integer | no | ||
| mean_atomic_mass | Feature | Continuous | no | ||
| wtd_mean_atomic_mass | Feature | Continuous | no | ||
| gmean_atomic_mass | Feature | Continuous | no | ||
| wtd_gmean_atomic_mass | Feature | Continuous | no | ||
| entropy_atomic_mass | Feature | Continuous | no | ||
| wtd_entropy_atomic_mass | Feature | Continuous | no | ||
| range_atomic_mass | Feature | Continuous | no | ||
| wtd_range_atomic_mass | Feature | Continuous | no | ||
| std_atomic_mass | Feature | Continuous | no |
0 to 10 of 82
Additional Variable Information
Please see the relevant paper for the feature explanations.
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset superconductivty_data = fetch_ucirepo(id=464) # data (as pandas dataframes) X = superconductivty_data.data.features y = superconductivty_data.data.targets # metadata print(superconductivty_data.metadata) # variable information print(superconductivty_data.variables)
Hamidieh,Kam. (2018). Superconductivty Data. UCI Machine Learning Repository. https://doi.org/10.24432/C53P47.
@misc{misc_superconductivty_data_464,
author = {Hamidieh,Kam},
title = {{Superconductivty Data}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C53P47}
}Creators
Kam Hamidieh
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.