Fig. 4
From: Machine learning modeling of superconducting critical temperature
Benchmarking of regression models predicting ln(Tc). a Predicted vs. measured ln(Tc) for the general regression model. The test set comprising a mix of low-Tc, iron-based, and cuprate superconductors with Tc > 10 K. With an R2 of about 0.88, this one model can accurately predict Tc for materials in different superconducting groups. b, c Predictions of the regression model trained solely on low-Tc compounds for test sets containing cuprate and iron-based materials. d, e Predictions of the regression model trained solely on cuprates for test sets containing low-Tc and iron-based superconductors. Models trained on a single group have no predictive power for materials from other groups
