Bake off redux: a review and experimental evaluation of recent time series classification algorithms

arXiv:2304.13029v2 Announce Type: replace
Abstract: In 2017, a research paper compared 18 Time Series Classification (TSC) algorithms on 85 datasets from the University of California, Riverside (UCR) archive. This study, commonly referred to as a `bake off', identified that only nine algorithms performed significantly better than the Dynamic Time Warping (DTW) and Rotation Forest benchmarks that were used. The study categorised each algorithm by the type of feature they extract from time series data, forming a taxonomy of five main …

abstract algorithms arxiv california classification cs.lg datasets evaluation experimental paper redux research research paper review riverside series study time series type university university of california