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+.vscode
+archive_results
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README.md

+# Analysis of CICIDS2018 through supervised learners
+This repository contains the source code and results of an extensive analysis of the CICIDS2018 intrusion detection data set.
+The results and conclusions are described in detail in an upcoming publication titled: "Classification hardness for supervised learners on 20 years of intrusion detection data".
+
+## Visualization
+Interactive plots are available through the plot_single_vol_red.py script in the plotting library. 
+The radiobuttons allow to change parameters after which a redraw through the button is necessary to update the plot.
+Everything that is required to get this up and running is in the code block below.
+
+```bash
+apt-get update
+apt-get install python3 python3-pip
+ln -s -f /usr/bin/python3 /usr/bin/python
+pip3 install --user numpy pandas matplotlib sklearn
+./plotting/plot_single_vol_red.py -D results/single/dtree
+```
+If python3 is the default python version for your distribution, it is not necessary to perform the installation of python and pip or to symlink the binary.
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