地球资源数据云——数据资源详情
该数据集《Personality classification Data: 16 Personalities》主要用于多分类任务,数据形态以文本为主,应用场景偏向交通/汽车。 题目说明:Guess the personality of the person based on answers to the Questionnaire 任务类型:文本多分类。 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:16P.csv。 This may be a very interesting dataset to work with <br> Please Note: This is a synthetic dataset and must not be taken seriously for academic research or other purposes, the purpose of the dataset is to have fun and learn classification on a challenging dataset and the data may not be accurate to what real world personalities turn out. Context This is a really cool Multi - class Classification Problem Content

该数据集《Personality classification Data: 16 Personalities》主要用于多分类任务,数据形态以文本为主,应用场景偏向交通/汽车。 题目说明:Guess the personality of the person based on answers to the Questionnaire
任务类型:文本多分类。
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:16P.csv。
This may be a very interesting dataset to work with
<br> Please Note: This is a synthetic dataset and must not be taken seriously for academic research or other purposes, the purpose of the dataset is to have fun and learn classification on a challenging dataset and the data may not be accurate to what real world personalities turn out.
Context
This is a really cool Multi - class Classification Problem
Content
该数据集《Personality classification Data: 16 Personalities》主要用于多分类任务,数据形态以文本为主,应用场景偏向交通/汽车。
数据格式为 CSV。
This may be a very interesting dataset to work with <br> Please Note: This is a synthetic dataset and must not be taken seriously for academic research or othe…
在本页登录后即可下载。建议引用格式:地球资源数据云. 性格分类数据:16个性格. https://www.gis5g.com/dataset/2033785884057702402