zenodoopen
Transformation attributes from GTZAN audio database
<p>This data set was used in my master thesis "Reproducibility of Machine Learning results". On one hand, this dataset was used as an input in creating Support Vector Machine , Naive Bayes and Random Forest models in R, Python, RapidMiner and Weka in order to experiment the influence that different development environments have on reproducibility of machine learning results. Furthermore all the models implemented in all of previously mentioned environments were tested in different operating systems such as Windows, Linux and Mac OS. </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0