Time-series forecasting on Dataset 1
0.0047RMSEETS
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| ETSType=Standard classical model2025.09 | 0.0047 | 0.0371 | 0.0014 | 0.0184 | 2.6 | 0.036 | 840.9 | |
| ARIMAType=Standard classical model2025.09 | 0.0047 | 0.0309 | 0.0015 | 0.018 | 3.13 | 0.028 | 2,207.4 | |
| LinearRegressionType=Standard classical model2025.09 | 0.0048 | 0.0362 | 0.0017 | 0.0279 | 2.7 | 0.033 | 0.109 | |
| KalmanFilterType=Standard classical model2025.09 | 0.0054 | 0.0312 | 0.0019 | 0.0173 | 0.79 | 0.041 | 0.335 | |
| ARIMA_fixedType=Process-Informed (PIF) variant, Constraint=fixed-weight loss2025.09 | 0.0073 | 0.0493 | 0.0013 | 0.0174 | 0.05 | 0.019 | 2,196.3 | |
| ETS_fixedType=Process-Informed (PIF) variant, Constraint=fixed-weight loss2025.09 | 0.008 | 0.0486 | 0.0013 | 0.0173 | 0.1 | 0.025 | 841.4 | |
| LinearRegression_fixedType=Process-Informed (PIF) variant, Constraint=fixed-weight loss2025.09 | 0.0083 | 0.054 | 0.0015 | 0.0217 | 0.26 | 0.023 | 0.195 | |
| KalmanFilter_fixedType=Process-Informed (PIF) variant, Constraint=fixed-weight loss2025.09 | 0.0085 | 0.0466 | 0.0016 | 0.0169 | 0 | 0.028 | 0.339 | |
| Recipe Prior BaselineType=Non-ML Baseline2025.09 | 0.0259 | 0.1618 | 0.0016 | 0.021 | 0 | 0 | — |