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kpoints-goldilocks-QRF
STFC-SCD/kpoints-goldilocks-QRF
kpoints-goldilocks-QRF is a machine learning model from STFC-SCD. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
These are Quantile Random Forest Regression models trained to predict the kpoints-density with different confidence levels: 1. QRF95.pkl predicts (0.05, 0.5, 0.95) quantiles 2. QRF90.pkl predicts (0.1, 0.5, 0.9) quant…
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Updated Dec 8, 2025
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- License
- cc-by-4.0
- Access
- Public
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025
- SHA
- 75588288
Model card
From the Hugging Face model README
These are Quantile Random Forest Regression models trained to predict the kpoints-density with different confidence levels:
- QRF95.pkl predicts (0.05, 0.5, 0.95) quantiles
- QRF90.pkl predicts (0.1, 0.5, 0.9) quantiles
- QRF85.pkl predicts (0.15, 0.5, 0.85) quantiles
The performance of models measured for the 0.5 quantile is:
MAE: 0.064,
MAPE: 0.179,
MSE: 0.0098,
R2_score: 0.694,
Spearman_corr: 0.862,
Kendall_corr: 0.682
Models are trained on the dataset generated for this work.
Associated GitHub repositories:
- License
- cc-by-4.0
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025