地球资源数据云——数据资源详情
食品价格通胀
该数据集《Food Price Inflation》主要用于多分类任务，数据形态以时序/信号为主，应用场景偏向金融风控。 题目说明：World Bank Food Price Inflation Dataset – Minimal, Clean and Analysis - Ready 任务类型：时序/信号多分类。 建议流程：先做去噪和窗口化，再比较树模型与 1D CNN/LSTM 等时序基线。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：food_price_inflation.csv。 This dataset contains monthly food price inflation data for 206 countries worldwide, covering the period from 2001 to 2025. The data is sourced from the World Bank Data360 (FAO Consumer Price Index, indicator FAO_CP_23014), making it real - world economic data ideal for analysis, visualization, and forecasting. The dataset was originally exported with extensive metadata from the World Bank, including multiple structural and classification columns. For ease of use and clarity, I cleaned and simplified the dataset, keeping only the essential columns: REF_AREA → Country code REF_AREA_LABEL → Country name TIME_PERIOD → Date of observation (monthly)
摘要概览
该数据集《Food Price Inflation》主要用于多分类任务，数据形态以时序/信号为主，应用场景偏向金融风控。 题目说明：World Bank Food Price Inflation Dataset – Minimal, Clean and Analysis - Ready
任务类型：时序/信号多分类。
建议流程：先做去噪和窗口化，再比较树模型与 1D CNN/LSTM 等时序基线。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：food_price_inflation.csv。
This dataset contains monthly food price inflation data for 206 countries worldwide, covering the period from 2001 to 2025. The data is sourced from the World Bank Data360 (FAO Consumer Price Index, indicator FAO_CP_23014), making it real - world economic data ideal for analysis, visualization, and forecasting.
The dataset was originally exported with extensive metadata from the World Bank, including multiple structural and classification columns. For ease of use and clarity, I cleaned and simplified the dataset, keeping only the essential columns:
REF_AREA → Country code
REF_AREA_LABEL → Country name
TIME_PERIOD → Date of observation (monthly)