Price Prediction on Vegetable Retail Price Dataset 2018-2019 held-out (test)
90.84Accuracy (1-MAPE)Gradient-Boosted Ensemble
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Gradient-Boosted EnsembleMethod Composition=XGBoost + LightGBM, Hyperparameter Tuning=Optuna [12], Validation Protocol=5-fold time-series cross-validation, Ensemble Weights=wxgb = 0.52, wlgb = 0.482026.06 | 90.84 | 0.9281 | 88.34 | |
| XGBoostModel Type=Individual, Hyperparameter Tuning=Optuna [12], Validation Protocol=5-fold time-series cross-validation2026.06 | 90.76 | — | 88.16 | |
| LightGBMModel Type=Individual, Hyperparameter Tuning=Optuna [12], Validation Protocol=5-fold time-series cross-validation2026.06 | 90.72 | — | 88.34 |