LightGBM + Ridge ensemble for spot freight rate prediction. Temporal holdout validation (MAPE 6.51%, R² 0.8131). 26 engineered spatial, market & cyclical features. Includes full inference pipeline, December chart generation, and official scorer validation.
python machine-learning numpy scikit-learn pandas lightgbm logistics ensemble-model time-series-analysis regression-analysis rigid ensemble-machine-learning rigid-registration ml-pipeline optuna rate-predictions freature-engineering freight-prediction
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Updated
Sep 15, 2026 - Python