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Feature overview table
Note that all catch22 features are statistical properties of the z-scored time series—they aim to focus on properties of the time-ordering of the data and are insensitive to the raw values in the time series.
In the table below we give the original feature name [from the Lubba et al. (2019) paper], and a shorter name more suitable for use in feature descriptions.
Features are also (loosely) categorized into broad conceptual groupings.
And in some cases, in which scale and spread of the raw time-series values may be relevant to class differences, the two simple distributional moment features (using the
catch24flag in the software implemenations) can be added: