F1 scores of gender classification (TF-IDF and Word2Vec feature size = 500 each).
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https://figshare.com/articles/dataset/F1_scores_of_gender_classification_TF-IDF_and_Word2Vec_feature_size_500_each_/7174034
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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



