ECOC (error-correcting output codes) models are used to address multi-label classification problems. tECOC is an adaptation of ECOC aimed at multivariate time-series classification. It is useful for building fast and (fairly) accurate models which leverage the simplicity and efficiency of two-label classifiers such as linear-discriminant analysis classifiers or support-vector machines.

The repository also provides two examples to start the user off (small subsets from EEG and multi-sensor WSN datasets). Any contributions or enhancements are more than welcome. I would like to migrate the code from closed-source MATLAB to something open source, preferably Julia. Any contributions towards this are highly encouraged.

The code was originally developed for an EEG study (link to come soon…). If you use tECOC in your work, please cite this paper.

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