[P] I trained a Mamba-3 log anomaly detector that hit 0.9975 F1 on HDFS — and I’m curious how far this can go
Reddit - Machine Learning
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Experiment #324 ended well. ;) This time I built a small project around log anomaly detection. In about two days, I went from roughly 60% effectiveness in the first runs to a final F1 score of 0.9975 on the HDFS benchmark. Under my current preprocessing and evaluation setup, LogAI reaches F1=0.9975, which is slightly above the 0.996 HDFS result reported for LogRobust in a recent comparative study. What that means in practice: on 3,368 anomalous sessions in the test set, it missed about 9 (rec...
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Originally published on April 03, 2026.
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