地球资源数据云——数据资源详情
该数据集《Climate change Indicators》主要用于监督学习任务,数据形态以表格为主。 题目说明:Climate change Indicators suggesting the surface temperature change annually 任务类型:表格监督学习。 建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。 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:climate_change_indicators.csv。 This dataset has climate change indicators for different countries with their associated codes(ISO2 AND ISO3). The measurement has been updated yearly till 2022 from 1961.

该数据集《Climate change Indicators》主要用于监督学习任务,数据形态以表格为主。 题目说明:Climate change Indicators suggesting the surface temperature change annually
任务类型:表格监督学习。
建议流程:先做缺失值/异常值处理与特征编码,再比较逻辑回归、随机森林、XGBoost。
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:climate_change_indicators.csv。
This dataset has climate change indicators for different countries with their associated codes(ISO2 AND ISO3). The measurement has been updated yearly till 2022 from 1961.