DEVELOPMENT... OpenML
Data
superconduct

superconduct

active ARFF CC BY 4.0 Visibility: public Uploaded 10-02-2022 by Amy Luna
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Dataset Description The data contains information on 21263 superconductors. The first 81 columns contain extracted features and the 82nd column contains the critical temperature which is used as the target variable. The original data from which the features were extracted comes from http://supercon.nims.go.jp/index_en.html, which is public. Related studies https://www.frontiersin.org/articles/10.3389/fmats.2021.714752/full Source [UCI](https://archive.ics.uci.edu/ml/datasets/superconductivty+data) (2018) Citation Please cite [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)

82 features

critical_temp (target)numeric3007 unique values
0 missing
wtd_std_FusionHeatnumeric14470 unique values
0 missing
wtd_mean_ElectronAffinitynumeric13526 unique values
0 missing
std_FusionHeatnumeric2920 unique values
0 missing
wtd_range_FusionHeatnumeric9671 unique values
0 missing
range_FusionHeatnumeric595 unique values
0 missing
wtd_entropy_FusionHeatnumeric14885 unique values
0 missing
entropy_FusionHeatnumeric3108 unique values
0 missing
wtd_gmean_FusionHeatnumeric14767 unique values
0 missing
gmean_FusionHeatnumeric3166 unique values
0 missing
wtd_mean_FusionHeatnumeric14194 unique values
0 missing
mean_FusionHeatnumeric2660 unique values
0 missing
wtd_std_ElectronAffinitynumeric13581 unique values
0 missing
std_ElectronAffinitynumeric2562 unique values
0 missing
wtd_range_ElectronAffinitynumeric10937 unique values
0 missing
range_ElectronAffinitynumeric644 unique values
0 missing
wtd_entropy_ElectronAffinitynumeric14078 unique values
0 missing
entropy_ElectronAffinitynumeric2635 unique values
0 missing
wtd_gmean_ElectronAffinitynumeric13752 unique values
0 missing
gmean_ElectronAffinitynumeric2678 unique values
0 missing
mean_ElectronAffinitynumeric2377 unique values
0 missing
mean_Valencenumeric63 unique values
0 missing
wtd_std_Valencenumeric7082 unique values
0 missing
std_Valencenumeric125 unique values
0 missing
wtd_range_Valencenumeric5908 unique values
0 missing
range_Valencenumeric7 unique values
0 missing
wtd_entropy_Valencenumeric10778 unique values
0 missing
entropy_Valencenumeric319 unique values
0 missing
wtd_gmean_Valencenumeric8102 unique values
0 missing
gmean_Valencenumeric243 unique values
0 missing
wtd_mean_Valencenumeric5737 unique values
0 missing
mean_ThermalConductivitynumeric1980 unique values
0 missing
wtd_std_ThermalConductivitynumeric13797 unique values
0 missing
std_ThermalConductivitynumeric2492 unique values
0 missing
wtd_range_ThermalConductivitynumeric7996 unique values
0 missing
range_ThermalConductivitynumeric452 unique values
0 missing
wtd_entropy_ThermalConductivitynumeric14269 unique values
0 missing
entropy_ThermalConductivitynumeric2711 unique values
0 missing
wtd_gmean_ThermalConductivitynumeric14152 unique values
0 missing
gmean_ThermalConductivitynumeric2737 unique values
0 missing
wtd_mean_ThermalConductivitynumeric13150 unique values
0 missing
wtd_std_atomic_massnumeric15031 unique values
0 missing
wtd_std_fienumeric14922 unique values
0 missing
std_fienumeric3185 unique values
0 missing
wtd_range_fienumeric12266 unique values
0 missing
range_fienumeric854 unique values
0 missing
wtd_entropy_fienumeric15058 unique values
0 missing
entropy_fienumeric3238 unique values
0 missing
wtd_gmean_fienumeric15089 unique values
0 missing
gmean_fienumeric3286 unique values
0 missing
wtd_mean_fienumeric14940 unique values
0 missing
mean_fienumeric2997 unique values
0 missing
mean_atomic_radiusnumeric942 unique values
0 missing
std_atomic_massnumeric3313 unique values
0 missing
wtd_range_atomic_massnumeric12641 unique values
0 missing
range_atomic_massnumeric1042 unique values
0 missing
wtd_entropy_atomic_massnumeric15113 unique values
0 missing
entropy_atomic_massnumeric3314 unique values
0 missing
wtd_gmean_atomic_massnumeric15165 unique values
0 missing
gmean_atomic_massnumeric3365 unique values
0 missing
wtd_mean_atomic_massnumeric15164 unique values
0 missing
mean_atomic_massnumeric3365 unique values
0 missing
mean_Densitynumeric3274 unique values
0 missing
wtd_std_Densitynumeric14939 unique values
0 missing
std_Densitynumeric3265 unique values
0 missing
wtd_range_Densitynumeric9279 unique values
0 missing
range_Densitynumeric890 unique values
0 missing
wtd_entropy_Densitynumeric15087 unique values
0 missing
entropy_Densitynumeric3283 unique values
0 missing
wtd_gmean_Densitynumeric15085 unique values
0 missing
gmean_Densitynumeric3332 unique values
0 missing
wtd_mean_Densitynumeric15010 unique values
0 missing
number_of_elementsnumeric9 unique values
0 missing
wtd_std_atomic_radiusnumeric14312 unique values
0 missing
std_atomic_radiusnumeric2529 unique values
0 missing
wtd_range_atomic_radiusnumeric11407 unique values
0 missing
range_atomic_radiusnumeric195 unique values
0 missing
wtd_entropy_atomic_radiusnumeric14948 unique values
0 missing
entropy_atomic_radiusnumeric3111 unique values
0 missing
wtd_gmean_atomic_radiusnumeric14969 unique values
0 missing
gmean_atomic_radiusnumeric3148 unique values
0 missing
wtd_mean_atomic_radiusnumeric12423 unique values
0 missing

19 properties

21263
Number of instances (rows) of the dataset.
82
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
82
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of nominal attributes.
-9.55
Average class difference between consecutive instances.
100
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
Number of instances belonging to the least frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the most frequent class.
0
Number of attributes divided by the number of instances.

1 tasks

0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: critical_temp
Define a new task