Numenta Anomaly Benchmark [pts/numenta-nab]

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors.

This utility test was uploaded by Phoronix Test Suite.

Looking For The Best Performance?

If you want to see how many different systems compare performance-wise for this test profile, visit the performance showdown page.

Revision History

pts/numenta-nab-1.1.0 [28 Feb 2020 12:04:17 EST]
- Update against NAB 1.1 upstream for Python 3 compatibility.

pts/numenta-nab-1.0.0 [09 Nov 2018 11:55:56 EST]
- Initial commit of Numenta Anomaly Benchmark

Recent Results With This Test

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1 System - 48 Benchmark Results

1 System - 56 Benchmark Results

1 System - 25 Benchmark Results

1 System - 22 Benchmark Results

1 System - 29 Benchmark Results

1 System - 203 Benchmark Results

2 Systems - 401 Benchmark Results

2 Systems - 173 Benchmark Results

1 System - 106 Benchmark Results

1 System - 256 Benchmark Results

1 System - 113 Benchmark Results

1 System - 50 Benchmark Results

1 System - 25 Benchmark Results

1 System - 25 Benchmark Results

Most Popular Results With This Test

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1 System - 248 Benchmark Results

5 Systems - 1840 Benchmark Results

5 Systems - 1839 Benchmark Results

1 System - 263 Benchmark Results

5 Systems - 1853 Benchmark Results

2 Systems - 88 Benchmark Results

5 Systems - 135 Benchmark Results

2 Systems - 475 Benchmark Results

3 Systems - 181 Benchmark Results

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