Time Series Classification on NetFlow

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	FCN-SNLST	0.96	No	Seq2Tens: An Efficient Representation of Sequenc...	2020-06-12	Code
2	MALSTM-FCN	0.95	No	Multivariate LSTM-FCNs for Time Series Classific...	2018-01-14	Code
3	GP-KConv1D	0.945	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
4	GP-Sig	0.937	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
5	GP-Sig-LSTM	0.931	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
6	GP-LSTM	0.928	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
7	GP-GRU	0.926	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
8	GP-Sig-GRU	0.921	No	Bayesian Learning from Sequential Data using Gau...	2019-06-19	Code
9	SNLST	0.793	No	Seq2Tens: An Efficient Representation of Sequenc...	2020-06-12	Code

#1FCN-SNLSTSOTA
0.96
Accuracy· 2020-06-12
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Code
#2MALSTM-FCNSOTA
0.95
Accuracy· 2018-01-14
Multivariate LSTM-FCNs for Time Series Classification Code
#3GP-KConv1D
0.945
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#4GP-Sig
0.937
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#5GP-Sig-LSTM
0.931
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#6GP-LSTM
0.928
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#7GP-GRU
0.926
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#8GP-Sig-GRU
0.921
Accuracy· 2019-06-19
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances Code
#9SNLST
0.793
Accuracy· 2020-06-12
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections Code