10.18419/darus-1771Holzmüller, DavidDavidHolzmüller0000-0002-9443-0049Universität StuttgartReplication Data for: On the Universality of the Double Descent Peak in Ridgeless RegressionDaRUS2021Computer and Information ScienceMathematical SciencesHolzmüller, DavidDavidHolzmüllerUniversität StuttgartHolzmüller, DavidDavidHolzmüllerUniversität StuttgartSteinwart, IngoIngoSteinwartUniversität Stuttgart2021-03-162021-03-232010.018511657259682233882733156781684114142682text/x-pythonapplication/gziptext/x-pythontext/x-pythontext/markdowntext/x-pythontext/x-python1.0Apache 2.0This 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.