wet-net / seq720_recall /augmented_metrics.csv
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metric,value
anomalies_found_h24,18.0
anomalies_missed_h24,114.0
anomaly_detection_rate_h24,0.13636363636363635
total_anomalies_h24,132.0
false_positives_h24,305.0
total_samples_h24,3442.0
precision_h24,0.05572755417956656
f1_h24,0.07912087912087912
anomalies_found_h48,24.0
anomalies_missed_h48,109.0
anomaly_detection_rate_h48,0.18045112781954886
total_anomalies_h48,133.0
false_positives_h48,346.0
total_samples_h48,3442.0
precision_h48,0.06486486486486487
f1_h48,0.09542743538767395
anomalies_found_h168,24.0
anomalies_missed_h168,111.0
anomaly_detection_rate_h168,0.17777777777777778
total_anomalies_h168,135.0
false_positives_h168,360.0
total_samples_h168,3442.0
precision_h168,0.0625
f1_h168,0.09248554913294797
anomalies_found_h336,27.0
anomalies_missed_h336,113.0
anomaly_detection_rate_h336,0.19285714285714287
total_anomalies_h336,140.0
false_positives_h336,412.0
total_samples_h336,3442.0
precision_h336,0.06150341685649203
f1_h336,0.09326424870466321
fused_recall@0.4,0.08333333333333333
fused_false_alarm@0.4,0.054380664652567974
fused_recall@0.5,0.06818181818181818
fused_false_alarm@0.5,0.03323262839879154
fused_recall@0.6,0.045454545454545456
fused_false_alarm@0.6,0.02054380664652568
fused_recall@0.7,0.015151515151515152
fused_false_alarm@0.7,0.004531722054380665
conflict_mean,0.15356962609874317