ML Research Wiki / Benchmarks / Time Series Classification / PhysioNet Challenge 2012

PhysioNet Challenge 2012

Time Series Classification Benchmark

Performance Over Time

📊 Showing 27 results | 📏 Metric: AUC

Top Performing Models

Rank	Model	Paper	AUC	Date	Code
1	GRU-D - APC (n = 1)	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	55.10	2021-06-29	📦 fiorella-wever/APC
2	GRU-Simple	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	53.80	2021-06-29	📦 fiorella-wever/APC
3	GRU-D [12]	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	53.70	2021-06-29	📦 fiorella-wever/APC
4	GRU-APC (n = 1)	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	53.50	2021-06-29	📦 fiorella-wever/APC
5	GRU-D - APC (n = 0)	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	53.30	2021-06-29	📦 fiorella-wever/APC
6	GRU-D	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	53.10	2021-06-29	📦 fiorella-wever/APC
7	GRU-Forward	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	52.00	2021-06-29	📦 fiorella-wever/APC
8	GRU	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	51.40	2021-06-29	📦 fiorella-wever/APC
9	GRU-APC (n = 0)	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	50.40	2021-06-29	📦 fiorella-wever/APC
10	GRU-Mean	As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning	50.30	2021-06-29	📦 fiorella-wever/APC

All Papers (27)

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-D - APC (n = 1)

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-Simple

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-D [12]

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-APC (n = 1)

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-D - APC (n = 0)

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-D

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-Forward

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-APC (n = 0)

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-Mean

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

BRITS [4]

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-D [6]

fiorella-wever/APC

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

2021

GRU-D [4]

fiorella-wever/APC

Set Functions for Time Series

2019

GRU-D

WenjieDu/PyPOTS BorgwardtLab/Set_Functions_for_Time_Series

Interpolation-Prediction Networks for Irregularly Sampled Time Series

2019

IP-NETS

mlds-lab/interp-net

Set Functions for Time Series

2019

Transformer

WenjieDu/PyPOTS BorgwardtLab/Set_Functions_for_Time_Series

Set Functions for Time Series

2019

IP-Nets

WenjieDu/PyPOTS BorgwardtLab/Set_Functions_for_Time_Series

Multi-Time Attention Networks for Irregularly Sampled Time Series

2021

mTAND-Full

WenjieDu/PyPOTS reml-lab/mTAN

Multi-Time Attention Networks for Irregularly Sampled Time Series

2021

mTAND-Enc

WenjieDu/PyPOTS reml-lab/mTAN

Set Functions for Time Series

2019

SeFT-Attn

WenjieDu/PyPOTS BorgwardtLab/Set_Functions_for_Time_Series

Recurrent Neural Networks for Multivariate Time Series with Missing Values

2016

GRU-D

WenjieDu/PyPOTS PeterChe1990/GRU-D

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

2021

STraTS

sindhura97/STraTS

Latent ODEs for Irregularly-Sampled Time Series

2019

ODE-RNN

YuliaRubanova/latent_ode patrick-kidger/torchcde

Latent ODEs for Irregularly-Sampled Time Series

2019

Latent ODE (ODE enc

YuliaRubanova/latent_ode patrick-kidger/torchcde

Latent ODEs for Irregularly-Sampled Time Series

2019

Latent ODE + Poisson

YuliaRubanova/latent_ode patrick-kidger/torchcde

Set Functions for Time Series

2019

GRU-Simple

WenjieDu/PyPOTS BorgwardtLab/Set_Functions_for_Time_Series

Set Functions for Time Series

2019

Phased-LSTM

WenjieDu/PyPOTS BorgwardtLab/Set_Functions_for_Time_Series

PhysioNet Challenge 2012

Performance Over Time

Edit Benchmark Results

Edit Result

Top Performing Models

All Papers (27)

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

As easy as APC: overcoming missing data and class imbalance in time series with self-supervised learning

Set Functions for Time Series

Interpolation-Prediction Networks for Irregularly Sampled Time Series

Set Functions for Time Series

Set Functions for Time Series

Multi-Time Attention Networks for Irregularly Sampled Time Series

Multi-Time Attention Networks for Irregularly Sampled Time Series

Set Functions for Time Series

Recurrent Neural Networks for Multivariate Time Series with Missing Values

Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series

Latent ODEs for Irregularly-Sampled Time Series

Latent ODEs for Irregularly-Sampled Time Series

Latent ODEs for Irregularly-Sampled Time Series

Set Functions for Time Series

Set Functions for Time Series

Model	Paper	AUC	Date
GRU-D - APC (n = 1)	As easy as APC: overcoming missing data and class…	55.10	2021-06-29
GRU-Simple	As easy as APC: overcoming missing data and class…	53.80	2021-06-29
GRU-D [12]	As easy as APC: overcoming missing data and class…	53.70	2021-06-29
GRU-APC (n = 1)	As easy as APC: overcoming missing data and class…	53.50	2021-06-29
GRU-D - APC (n = 0)	As easy as APC: overcoming missing data and class…	53.30	2021-06-29
GRU-D	As easy as APC: overcoming missing data and class…	53.10	2021-06-29
GRU-Forward	As easy as APC: overcoming missing data and class…	52.00	2021-06-29
GRU	As easy as APC: overcoming missing data and class…	51.40	2021-06-29
GRU-APC (n = 0)	As easy as APC: overcoming missing data and class…	50.40	2021-06-29
GRU-Mean	As easy as APC: overcoming missing data and class…	50.30	2021-06-29
BRITS [4]	As easy as APC: overcoming missing data and class…	0.85	2021-06-29
GRU-D [6]	As easy as APC: overcoming missing data and class…	0.84	2021-06-29
GRU-D [4]	As easy as APC: overcoming missing data and class…	0.83	2021-06-29
GRU-D	Set Functions for Time Series		2019-09-26
IP-NETS	Interpolation-Prediction Networks for Irregularly…		2019-09-13
Transformer	Set Functions for Time Series		2019-09-26
IP-Nets	Set Functions for Time Series		2019-09-26
mTAND-Full	Multi-Time Attention Networks for Irregularly Sam…		2021-01-25
mTAND-Enc	Multi-Time Attention Networks for Irregularly Sam…		2021-01-25
SeFT-Attn	Set Functions for Time Series		2019-09-26
GRU-D	Recurrent Neural Networks for Multivariate Time S…		2016-06-06
STraTS	Self-Supervised Transformer for Sparse and Irregu…		2021-07-29
ODE-RNN	Latent ODEs for Irregularly-Sampled Time Series		2019-07-08
Latent ODE (ODE enc	Latent ODEs for Irregularly-Sampled Time Series		2019-07-08
Latent ODE + Poisson	Latent ODEs for Irregularly-Sampled Time Series		2019-07-08
GRU-Simple	Set Functions for Time Series		2019-09-26
Phased-LSTM	Set Functions for Time Series		2019-09-26