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Time Series Classification
벤치마크
Time Series Classification on CharacterTrajectories
9개 결과 ·
⬇ CSV
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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)
2018-01-14 — MALSTM-FCN: Accuracy 1.0
Rank
Model
Accuracy
NLL
Paper
Code
Year
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
0.991
0.031
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
tgcsaba/GPSig
2019
4
GP-Sig
0.979
0.108
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
0.941
0.409
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
tgcsaba/GPSig
2019
7
GP-Sig-GRU
0.925
0.258
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
tgcsaba/GPSig
2019
8
GP-LSTM
0.233
2.506
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
tgcsaba/GPSig
2019
9
GP-GRU
0.114
3.523
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
tgcsaba/GPSig
2019
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