Model Connecting
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Interactive simulator | Two-stage ML pipeline | XGBoost
Bandgap Prediction
Select a material from the test set. The dropdown reads target.json server-side, then the selected material id is matched against label.json and sent through the Model backend.
Model Connecting
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Threshold
The dissertation lowered the classifier threshold to 0.28 to protect nonmetal recall during screening.
Confidence
PI90 and PI95 represent split-conformal prediction intervals calibrated on held-out entries.
Risk tolerance
A practical acquisition score trades predicted Eg against interval width, mirroring uncertainty-aware screening.