<Final Round> Data·AI-based Price Forecasting Competition : Focusing on Agricultural Product Prices

Algorithm | Agricultural Products | Tabular | Time-series | Qualitative Assessment | PT

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Kingston Science_XGBoost 회귀 모델 농산물가 예측 (가격, 주산지 기상 정보 등 활용)

2024.11.11 05:09 1,462 Views language

Kingston Science 농산물 가격 예측 본선 발표 자료
•10 종 ( 감자 , 건고추 , 깐마늘 , 대파 , 무 , 배추 , 사과 , 상추 , 양파 , 배 ) 의 미래 가격 예측 XGBoost 회귀 모델
• 지난 3 개월 간의 농산물 가격 , 가락시장 총 반입량 , 주산지 온도 , 농산물 수출입량의 데이터 활용
• 현 시점으로부터 10 일 뒤 , 20 일 뒤 , 30 일 뒤의 미래 가격 예측

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