地球资源数据云——数据资源详情
全球食物浪费数据集（2018-2024）
该数据集《 Global Food Wastage Dataset (2018 - 2024) 》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Tracking food waste trends, economic impact, and household waste distribution. 任务类型：文本监督学习。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 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：global_food_wastage_dataset.csv。 Food wastage is a significant global issue affecting both economies and sustainability. This dataset provides insights into food waste trends across different countries from 2018 to 2024, categorized by food type, economic loss, and per capita waste. It is a valuable resource for data analysts, policymakers, and sustainability researchers. Use this dataset for: Exploratory Data Analysis (EDA) Data Visualization Projects Predictive Modeling & ML Algorithms Food Sustainability Research Got insights? Drop a comment & let's discuss!
摘要概览
该数据集《 Global Food Wastage Dataset (2018 - 2024) 》主要用于监督学习任务，数据形态以文本为主，应用场景偏向文本内容分析。 题目说明：Tracking food waste trends, economic impact, and household waste distribution.
任务类型：文本监督学习。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
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：global_food_wastage_dataset.csv。
Food wastage is a significant global issue affecting both economies and sustainability. This dataset provides insights into food waste trends across different countries from 2018 to 2024, categorized by food type, economic loss, and per capita waste. It is a valuable resource for data analysts, policymakers, and sustainability researchers.
Use this dataset for: Exploratory Data Analysis (EDA) Data Visualization Projects Predictive Modeling & ML Algorithms Food Sustainability Research
Got insights? Drop a comment & let's discuss!