Time Series On Physionet Challenge 2012

Results

Performance results of various models on this benchmark

Model Name	F1	Paper Title
naive classifier	87.47	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
GRU-D	22.5	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
GRU-Simple	22.2	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
GRU-D - APC (n = 1)	27.3	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
GRU-Mean	22.1	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
GRU-APC (n = 1)	25.7	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning
GRU	22.3	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

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