地球资源数据云——数据资源详情
差距世界
该数据集《Gapminder World》主要用于监督学习任务，数据形态以文本为主。 题目说明：Dataset from Gapminder World website from 1952 to 2007. 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：gapminder - gapminder.csv, gapminder_full.csv。 Data source Data included in this dataset is from the Gapminder.org website. Gapminder documentation Inspiration I was inspired by Hans Rosling visualization and decided to create my own visualization with pandas and seaborn. Gapminder (Factfulness graph) Description of data
摘要概览
该数据集《Gapminder World》主要用于监督学习任务，数据形态以文本为主。 题目说明：Dataset from Gapminder World website from 1952 to 2007.
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：gapminder - gapminder.csv, gapminder_full.csv。
Data source
Data included in this dataset is from the Gapminder.org website. Gapminder documentation
Inspiration
I was inspired by Hans Rosling visualization and decided to create my own visualization with pandas and seaborn. Gapminder (Factfulness graph)
Description of data