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Price Prediction on Vegetable Retail Price Dataset 2018-2019 held-out (test)
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90.84
Accuracy (1-MAPE)
Gradient-Boosted Ensemble
90.7152
90.7476
90.78
90.8124
Jun 28, 2026
Accuracy (1-MAPE)
R2 Score
95% Confidence Interval
Updated 26d ago
Evaluation Results
Method
Method
Links
Accuracy (1-MAPE)
R2 Score
95% Confidence Interval
Gradient-Boosted Ensemble
Method Composition=XGB...
2026.06
90.84
0.9281
88.34
XGBoost
Model Type=Individual,...
2026.06
90.76
-
88.16
LightGBM
Model Type=Individual,...
2026.06
90.72
-
88.34
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