Time Series Classification On

Metriken

Accuracy

NLL

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title
MALSTM-FCN	1	-	Multivariate LSTM-FCNs for Time Series Classification
FCN-SNLST	0.994	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-Sig-LSTM	0.991	0.031	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig	0.979	0.108	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
SNLST	0.957	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-KConv1D	0.941	0.409	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-GRU	0.925	0.258	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-LSTM	0.233	2.506	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-GRU	0.114	3.523	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances

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Time Series Classification On | SOTA | HyperAI