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| Property | Samples | R² | MAE |
|---|---|---|---|
| Tg | 76,377 | 0.85 | 44 K |
| Density | 31,173 | 0.88 | 0.26 g/cm³ |
| Refractive Index | 58,913 | 0.83 | 0.036 |
| GFA | 11,858 | — | 69% acc |
1import joblib, json, numpy as np
2
3model = joblib.load("tg_regressor.pkl")
4with open("tg_features.json") as f:
5 features = json.load(f)
6
7comp = {f: 0.0 for f in features}
8comp["SiO2"] = 72.0
9comp["Na2O"] = 14.0
10comp["CaO"] = 9.0
11
12X = np.array([[comp[f] for f in features]])
13print(f"Tg: {model.predict(X)[0]:.1f} K")