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

Abstract In 2017, a research paper (Bagnall et al. Data Mining and Knowledge Discovery 31(3):606-660. 2017) 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 algorithm types. This categorisation of algorithms alongside the provision of code and accessible results for reproducibility has helped fuel an…

• UO
  University of East Anglia
• UO
  University of Southampton
• EA
  Engineering and Physical Sciences Research Council

  Awards: EP/W030756/2, EP/W030756/1, EP/W030756/1