Data Science, Machine Learning, Extrapolation, Regression, IBM.
superconductor metrics and the superconductor’s chemical formula to predict superconductor critical temperature levels (Hamidieh). The dataset is provided by the Superconducting Materials database and includes 81 features from ~22,000 superconductors. Numeric features include atomic radius,