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Time Series Classification On Pendigits

Metrics

Accuracy

NLL

Results

Performance results of various models on this benchmark

			Paper Title	Repository
GP-Sig	0.955	0.146	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
SNLST	0.954	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
FCN-SNLST	0.953	-	Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
GP-LSTM	0.953	0.185	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-GRU	0.951	0.187	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-KConv1D	0.946	0.181	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-LSTM	0.928	0.289	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
GP-Sig-GRU	0.902	0.399	Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances

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Time Series Classification On Pendigits | SOTA | HyperAI