地球资源数据云——数据资源详情
#Janatahack：2020 年独立日 ML 黑客马拉松
该数据集《#Janatahack: Independence Day 2020 ML Hackathon》主要用于监督学习任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Topic Modeling for Research Articles 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：sample_submission_UVKGLZE.csv, test.csv, train.csv。 Problem Statement Topic Modeling for Research Articles Researchers have access to large online archives of scientific articles. As a consequence, finding relevant articles has become more difficult. Tagging or topic modelling provides a way to give token of identification to research articles which facilitates recommendation and search process. Given the abstract and title for a set of research articles, predict the topics for each article included in the test set. Note that a research article can possibly have more than 1 topic. The research article abstracts and titles are sourced from the following 6 topics: 1. Computer Science 2. Physics
摘要概览
该数据集《#Janatahack: Independence Day 2020 ML Hackathon》主要用于监督学习任务，数据形态以表格为主，应用场景偏向金融风控。 题目说明：Topic Modeling for Research Articles
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：sample_submission_UVKGLZE.csv, test.csv, train.csv。
Problem Statement Topic Modeling for Research Articles Researchers have access to large online archives of scientific articles. As a consequence, finding relevant articles has become more difficult. Tagging or topic modelling provides a way to give token of identification to research articles which facilitates recommendation and search process.
Given the abstract and title for a set of research articles, predict the topics for each article included in the test set.
Note that a research article can possibly have more than 1 topic. The research article abstracts and titles are sourced from the following 6 topics:
1. Computer Science
2. Physics