遇见数据集

Model performance comparison (n = 68,863).

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Figshare2017-05-11 更新2026-04-29 收录
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Lower mean brier score (MeanBrier) and mean log loss (MeanLogLoss) is better and higher AUC is better. w2vTitle has infinite log loss due to making predictions with 0 and 1 probabilities. Two-sample t-tests with alternative hypotheses that w2vGLM outperforms its closest competitors are significant with p-values of 3.02e-53 (log loss newest data), 3.65e-26 (brier loss newest data), 9.73e-04 (log loss oldest data) and 5.36e-03 (brier loss oldest data).

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2017-05-11
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