Unverified50% confidenceBenchmarkExact time
In the same case study, TRPCA and PCA-based anomaly detectors achieved only 0.69 or lower macro F1 scores
1
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Long-term
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10/7/2026
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UnverifiedThe evaluation set for F1 = 87.90 is limited to the 200 most frequent ingredients, and the research team has not provided independent evaluation figures for linking quality on long-tail, low-frequency ingredients.67% similarUnverifiedThe model's F1 score is 72%, and the data has a severe class imbalance with a ratio of 89:11.66% similarUnverifiedFine-tuned DistilBERT achieves F1=0.9993 on in-distribution testing, but loses 12.9 mean average precision points under topic shift, a greater degradation than the linear model's 5.2 points.66% similarUnverifiediPSAE评分对Binder二分类预测的AUC仅为0.65，远低于可靠分类器水平64% similarUnverifiedMinimizing reconstruction error in PCA is equivalent to maximizing the total variance of the projected data.64% similar
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