Time Series Classification on NetFlow

9개 결과 · ⬇ CSV · JSON

Accuracy

Rank	Model	Accuracy	NLL	Paper	Code	Year
1	FCN-SNLST	0.960	–	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	tgcsaba/seq2tens	2020
2	MALSTM-FCN	0.95	–	Multivariate LSTM-FCNs for Time Series Classification	timeseriesAI/tsai · titu1994/LSTM-FCN · titu1994/MLSTM-FCN · +4	2018
3	GP-KConv1D	0.945	0.168	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	tgcsaba/GPSig	2019
4	GP-Sig	0.937	0.189	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	tgcsaba/GPSig	2019
5	GP-Sig-LSTM	0.931	0.218	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	tgcsaba/GPSig	2019
6	GP-LSTM	0.928	0.251	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	tgcsaba/GPSig	2019
7	GP-GRU	0.926	0.194	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	tgcsaba/GPSig	2019
8	GP-Sig-GRU	0.921	0.259	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	tgcsaba/GPSig	2019
9	SNLST	0.793	–	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	tgcsaba/seq2tens	2020