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Time Series Classification On Arabicdigits

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
SNLST0.968Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections-
MALSTM-FCN0.99Multivariate LSTM-FCNs for Time Series Classification-
GP-KConv1D0.984Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
FCN-SNLST0.993Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections-
GP-LSTM0.985Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
GP-Sig-GRU0.994Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
GP-GRU0.986Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
GP-Sig0.979Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
GP-Sig-LSTM0.992Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances-
ConvTran0.9945Improving Position Encoding of Transformers for Multivariate Time Series Classification-
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Time Series Classification On Arabicdigits | SOTA | HyperAI