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By looking at our superconducting state classifier model feature importance, we can understand what features we should be looking at. From there, we can start to study how these features change across
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An animated look at Ba2Ca2Cu3Hg0.85Re0.15O8-MP-mp-22601-synth_doped with a Tc of 132 K showing how SHAP and feature values change on its way up to Tc.
X axis is the starting value, Y axis is the ending value. Points on the y=x line indicate no change over the temperature range. Each subplot is a separate feature.
Visualizing Tc class predictions for Ag0.02Ge2Pd1.98Sr1-MP-mp-978986-synth_doped from the 3DSC(MP) dataset.
Comparing how feature 63 and corresponding SHAP values changes as a material increases in temperature