F1 scores of gender classification (TF-IDF and Word2Vec feature size = 500 each).
收藏NIAID Data Ecosystem2026-03-10 收录
数据链接：
官方服务：
资源简介：
Compared with Table 2, identifying gender was more difficult than identifying age. Model with image objects yielded greater performance than those with tags. For combined features, we used TF-IDF and Word2Vec, yielding an F1 score of 0.74.
创建时间：
2018-10-05
