First, to get the data run the following command (this might take a while...):
$ ./scripts/get_data.sh
Next, parse an process the data to be trained
$ ./scripts/parse_all_traces.py -d data/list_of_devices.csv data/traces/ data/traces/
The notebook with all experiments is the classifier.ipynb
file.
You can open this file and simply run all to get all the results (hyper parameter tuning is turned off by default).