A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency

Understand

sktime is an open source, Python based, sklearn compatible toolkit for time series analysis developed by researchers at the University of East Anglia (UEA), University College London and the Alan Turing Institute.

• A key initial goal for sktime was to provide time series classification functionality equivalent to that available in a related java package, tsml, also developed at UEA.
• We describe the implementation of six such classifiers in sktime and compare them to their tsml equivalents.
• We demonstrate correctness through equivalence of accuracy on a range of standard test problems and compare the build time of the different implementations.