This is the data I collected and the analysis files used for a part of my bachelor's thesis using the method described by Junger et al.
Measurement files in the folder are structured as follows: Actions_SUT_Tesla.csv - logs start and stop of measurement cycles DJ-TESLA_DataCollector[xxx].csv - Several data on collected parameters, e.g. RAM, CPU, network traffic elektrische_leistungsmessung_Tesla.log - elctrical power used
Data for decision tree measurements
Data for logistic regression measurements
Data for multilayer perceptron measurements
Data for support vector machine measurements
Data for support vector machine measurements
Data for support vector machine measurements
[model/baseline].py - merges different files, structures and cleans data mean_to_bl.py - compares mean values of the measurement per model to baseline values methods.py - service class for the methods used across all analysis files ttest.ipynb - significance tests and effect size tests (ttest and cohen's d) shapiro-wilk.ipynb - tests for normality