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Time Series Classification 벤치마크

Time Series Classification on CharacterTrajectories

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Accuracy

0.114 0.3355 0.557 0.7785 1 2018-01 2026-09 MALSTM-FCN — 1.0 (2018-01-14) GP-Sig-LSTM — 0.991 (2019-06-19) GP-Sig — 0.979 (2019-06-19) GP-KConv1D — 0.941 (2019-06-19) GP-Sig-GRU — 0.925 (2019-06-19) GP-LSTM — 0.233 (2019-06-19) GP-GRU — 0.114 (2019-06-19) FCN-SNLST — 0.994 (2020-06-12) SNLST — 0.957 (2020-06-12) MALSTM-FCN — 1.0 (2018-01-14)
RankModel AccuracyNLL PaperCodeYear
1 MALSTM-FCN 1 Multivariate LSTM-FCNs for Time Series Classification timeseriesAI/tsai · titu1994/LSTM-FCN · titu1994/MLSTM-FCN · +4 2018
2 FCN-SNLST 0.994 Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections tgcsaba/seq2tens 2020
3 GP-Sig-LSTM 0.9910.031 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances tgcsaba/GPSig 2019
4 GP-Sig 0.9790.108 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances tgcsaba/GPSig 2019
5 SNLST 0.957 Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections tgcsaba/seq2tens 2020
6 GP-KConv1D 0.9410.409 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances tgcsaba/GPSig 2019
7 GP-Sig-GRU 0.9250.258 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances tgcsaba/GPSig 2019
8 GP-LSTM 0.2332.506 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances tgcsaba/GPSig 2019
9 GP-GRU 0.1143.523 Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances tgcsaba/GPSig 2019
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