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SOTA
Time Series Classification
Time Series Classification On Wafer
Time Series Classification On Wafer
评估指标
Accuracy
NLL
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Accuracy
NLL
Paper Title
Repository
GP-LSTM
0.966
0.105
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
MALSTM-FCN
0.99
-
Multivariate LSTM-FCNs for Time Series Classification
SNLST
0.981
-
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-GRU
0.994
0.029
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-GRU
0.978
0.081
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig
0.965
0.105
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-KConv1D
0.984
0.085
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
FCN-SNLST
0.989
-
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-Sig-LSTM
0.988
0.048
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
R_DST_Ensemble
0.9999513303049968
-
Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets
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