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Compare Anomoly Detection with Percentile and MAD

Precondition to run sample

Enter python virtual environment and install dependencies.

$ source bin/activate
$ pip install -r requirements.txt

Percentile

Just make sure the points are plot in 95% area in the graph. Try sample with:

$ python main.py -a percentile

screenshot-percentile

MAD (Median absolute deviation)

Use MAD to detect the anomaly points. Try sample with:

$ python main.py

screenshot-mad

-- Update Feb 3, 2019 -- With MAD, we could find the outerliner and render it out.

$ python main.py -a mad_flow

screenshot-mad-flow

Also with Percentile, the outerline is rendered as:

$ python main.py -a percentile_flow

screenshot-percentile_flow

anom-mad's People

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