Anomaly Detection on Telemetry dataset synthetic (Layer 1) benchmark leaderboard · SOTA2 Research

Anomaly Detection on Telemetry dataset synthetic (Layer 1)

100AccuracyQML + Random Forest

Evaluation Results

Method	Links
QML + Random Forest2025.12		100	100	100	100	100	100	100
Serial DQNN + DNN2025.12		98.8	99.29	98.37	98.17	99.37	98.72	98.87
Parallel DQNN + DNN2025.12		98.13	99.35	97.1	96.69	99.43	98	98.25
Naive Bayes2025.12		87.87	90.98	85.53	82.51	92.67	86.54	88.96
SVM2025.12		79.17	78.5	79.74	77.01	81.1	77.75	80.41
Logistic Regression2025.12		79.13	78.33	79.84	77.22	80.85	77.77	80.34
Isolation Forest2025.12		52.07	49.63	75.17	94.99	13.59	65.2	23.02
RL Agent2025.12		52.07	43.42	52.53	4.65	94.56	8.41	67.54