Replication Data for: On the Universality of the Double Descent Peak in Ridgeless Regression

This dataset contains code used to generate the figures in the paper <em>On the Universality of the Double Descent Peak in Ridgeless Regression, David Holzmüller, International Conference on Learning Representations 2021</em>. The code is also provided on <a href=https://github.com/dholzmueller/universal_double_descent>GitHub</a>. Here, we additionally provide the data that is generated by the code and that is required to generate the plots. To use this data, simply unpack the (large!) file <code>data.tar.gz</code> inside the folder where the Python files are located. If the data is not downloaded and unpacked, the code will automatically compute it, which can take about one day on a 6-core-CPU. Information on the code and used software can be found in the file README.md.