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Add cfid_chem LightGBM contribution for ssub formula_energy (jborr / JHU) - #29

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GonzVerse:add-jborr-cfid-chem

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Summary

  • Contributor: jborr (Johns Hopkins University)
  • Task: AI-SinglePropertyPrediction / formula_energy / ssub
  • Descriptor: CFID compositional descriptors (1314-dim, molar-fraction weighted per-element CFID vectors via get_chem_only_descriptors)
  • Model: LightGBM (n_estimators=1170, learning_rate=0.15, num_leaves=273)
  • Test MAE: 0.1694 eV/atom (vs. element-fraction baseline 0.3807 eV/atom — 55.5% improvement)

Files added

File Description
contributions/jborr/AI-SinglePropertyPrediction-formula_energy-ssub-test-mae.csv.zip Test-set predictions (id, target, prediction)
contributions/jborr/metadata.json Model metadata, MAE, algorithm details
contributions/jborr/run.sh Shell script to reproduce results

Benchmark

Dataset: SSUB (SGTE Solid SUBstances, 1726 samples)
Official train/test split: 1381 / 345
Reference: Choudhary & Tavazza, npj Comput. Mater. 6, 64 (2020)

🤖 Generated with Claude Code

…JHU)

CFID compositional descriptors (1314-dim, molar-fraction weighted)
with LightGBM regressor. Test MAE = 0.1694 eV/atom on SSUB dataset.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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