Anomaly Detection On Numenta Anomaly
Metrics
NAB score
Results
Performance results of various models on this benchmark
Model Name | NAB score | Paper Title | Repository |
|---|---|---|---|
| Twitter ADVec v1.0.0 | 47.1 | Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | - |
| Bayesian Changepoint | 17.7 | Real-Time Anomaly Detection for Streaming Analytics | - |
| Sliding Threshold | 15.0 | Real-Time Anomaly Detection for Streaming Analytics | - |
| Numenta HTM | 64.7 | Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | - |
| nab-comportex | 64.6 | Unsupervised real-time anomaly detection for streaming data | |
| Etsy Skyline | 35.7 | Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | - |
| ARIMA AD | 65.03 | Online Forecasting and Anomaly Detection Based on the ARIMA Model | |
| Random | 16.8 | Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | - |
| CAD OSE | 69.9 | Unsupervised real-time anomaly detection for streaming data | |
| HTM AL | 70.1 | Unsupervised real-time anomaly detection for streaming data |
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