Statistical comparisons of time-series feature sets on classification tasks
In recent years, numerous open-source software libraries have been developed for computing sets of features from univariate time series. The type and number of features vary across these feature sets, which have been constructed with varying disciplinary perspectives on quantifying structure in time-series data. To date, the relative strengths and weaknesses of these feature sets on time-series classification problems remains largely unexplored. Here we aimed to understand the relative performance of six open-source feature sets and three baseline feature sets (based on distributional and/or basic spectral structure) across 124 univariate time-series classification problems using a normal...
| Authors | Trent Henderson, Ben D. Fulcher |
|---|---|
| Primary category | stat.ME |
| Published | 3 August 2026 |
| Last updated at source | 3 August 2026 |
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