  The Hierarchical Vote Collective of Transformation-based Ensembles
(HIVE-COTE) is a heterogeneous meta ensemble for time series classification.
Since it was first proposed in 2016, the algorithm has undergone some minor
changes and there is now a configurable, scalable and easy to use version
available in two open source repositories. We present an overview of the latest
stable HIVE-COTE, version 1.0, and describe how it differs to the original. We
provide a walkthrough guide of how to use the classifier, and conduct extensive
experimental evaluation of its predictive performance and resource usage. We
compare the performance of HIVE-COTE to three recently proposed algorithms
using the aeon toolkit.
