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SISEC MUS 2018 Analysis and Visualization

Installation

install the python3.6 requirements using pipenv: pipenv install

Usage

Aggregate Data

To aggregate the data and convert them to various formats we use a pandas data frame.

python aggregate.py ./EST --out sisec18.pd generates a pandas data frame with all results from the ./EST folder.

If you want to compare several estimates, you can just specify them as multiple command line arguments:

python aggregate.py ./EST1 ./EST2 --out sisec18.pd

or use a parent folder and bash wildcards

python aggregate.py ./ESTIMATES/* --out sisec18.pd

Plots and Statistical Analysis

We provide a jupyter notebook that includes all the results that were used to create the SiSEC evaluation. Also you can run the notebook on google colab.

SiSEC 18 Paper Plots

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SiSEC 18 Paper

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