Turing Change Point Benchmark
This is an update release of the Turing Change Point Benchmark, corresponding to v2 of the arXiv paper: https://arxiv.org/abs/2003.06222. The Turing Change Point Benchmark is a benchmark study of change point detection algorithms using real-world time series.
This update release makes the following changes:
- Added the "zero" baseline method
- Added a script to compute summary statistics
- Added rank plots for multivariate datasets
- Corrected an error in the computation of the F1 score and updated the results. This correction had no major effect on the conclusions of the paper.