# Source: superconductivity
**Category:** science_engineering
**README generated:** 2025-10-02 12:52:18Z

## Source URL(s)
- https://archive.ics.uci.edu/dataset/464/superconductivty+data

## Citation(s)
- Hamidieh, K. (2018). Superconductivty Data [Dataset]. UCI Machine Learning Repository. DOI: 10.24432/C53P47.

## Variables (X → Y)
- density(entropy_Density,gmean_Density,mean_Density,range_Density,std_Density,wtd_entropy_Density,wtd_gmean_Density,wtd_mean_Density,wtd_range_Density,wtd_std_Density) → critical_temp
- electron affinity(entropy_ElectronAffinity,gmean_ElectronAffinity,mean_ElectronAffinity,range_ElectronAffinity,std_ElectronAffinity,wtd_entropy_ElectronAffinity,wtd_gmean_ElectronAffinity,wtd_mean_ElectronAffinity,wtd_range_ElectronAffinity,wtd_std_ElectronAffinity) → critical_temp
- fusion heat(entropy_FusionHeat,gmean_FusionHeat,mean_FusionHeat,range_FusionHeat,std_FusionHeat,wtd_entropy_FusionHeat,wtd_gmean_FusionHeat,wtd_mean_FusionHeat,wtd_range_FusionHeat,wtd_std_FusionHeat) → critical_temp
- thermal conductivity(gmean_ThermalConductivity,mean_ThermalConductivity,range_ThermalConductivity,std_ThermalConductivity,wtd_gmean_ThermalConductivity,wtd_mean_ThermalConductivity,wtd_range_ThermalConductivity,wtd_std_ThermalConductivity) → critical_temp
- valence(entropy_Valence,gmean_Valence,mean_Valence,std_Valence,wtd_entropy_Valence,wtd_gmean_Valence,wtd_range_Valence,wtd_mean_Valence,wtd_std_Valence) → critical_temp
- atomic mass(entropy_atomic_mass,gmean_atomic_mass,mean_atomic_mass,range_atomic_mass,std_atomic_mass,wtd_entropy_atomic_mass,wtd_gmean_atomic_mass,wtd_mean_atomic_mass,wtd_range_atomic_mass,wtd_std_atomic_mass) → critical_temp
- atomic radius(entropy_atomic_radius,gmean_atomic_radius,mean_atomic_radius,range_atomic_radius,std_atomic_radius,wtd_entropy_atomic_radius,wtd_gmean_atomic_radius,wtd_mean_atomic_radius,wtd_range_atomic_radius,wtd_std_atomic_radius) → critical_temp
- fie(entropy_fie,mean_fie,range_fie,std_fie,wtd_entropy_fie,wtd_gmean_fie,wtd_mean_fie,wtd_range_fie,wtd_std_fie) → critical_temp

## Causal reasoning

In this dataset, the causes are different features or chemical properties of different superconductors. When these materials hit below the critical temperature, they conduct eletrical energy. This temperature is a consequence of the internal chemical features that are the causes of this dataset.