Time Series Classification on CHARACTER TRAJ. (test)
0.9953AccuracyCKCNN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CKCNNDrop Rate (p%)=0%2021.10 | 0.9953 | — | |
| CKCNNParams.=100k2023.04 | 0.9953 | — | |
| FlexTCNParams.=373k2023.04 | 0.9953 | — | |
| SMPConvParams.=371k2023.04 | 0.9953 | — | |
| GRSF2019.06 | 0.994 | — | |
| LSSLDrop Rate (p%)=0%2021.10 | 0.993 | — | |
| SMTS2019.06 | 0.992 | — | |
| GP-SIG-LSTM2019.06 | 0.991 | — | |
| MLSTMFCN2019.06 | 0.99 | — | |
| CKCNNDrop Rate (p%)=30%2021.10 | 0.9883 | — | |
| LSSLDrop Rate (p%)=30%2021.10 | 0.9883 | — | |
| LSSLDrop Rate (p%)=50%2021.10 | 0.9883 | — | |
| NCDEDrop Rate (p%)=50%2021.10 | 0.988 | — | |
| NCDEParams.=89k2023.04 | 0.988 | — | |
| NCDEDrop Rate (p%)=30%2021.10 | 0.987 | — | |
| Previous workm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=0, C (number of classes)=20, Train size=1422, Test size=14362026.03 | 0.987 | — | |
| NCDEDrop Rate (p%)=70%2021.10 | 0.986 | — | |
| CKCNNDrop Rate (p%)=50%2021.10 | 0.986 | — | |
| LSSLDrop Rate (p%)=70%2021.10 | 0.9837 | — | |
| CKCNNDrop Rate (p%)=70%2021.10 | 0.9814 | — | |
| GP-SIG2019.06 | 0.979 | — | |
| GRU-AtParams.=89k2023.04 | 0.978 | — | |
| GP-SIG-GRU2019.06 | 0.975 | — | |
| ODE-RNNParams.=89k2023.04 | 0.971 | — | |
| LPS2019.06 | 0.965 | — | |
| GRU-ODEParams.=89k2023.04 | 0.962 | — | |
| ODE-RNNDrop Rate (p%)=50%2021.10 | 0.96 | — | |
| GRU-DParams.=89k2023.04 | 0.959 | — | |
| Baseline stagedm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=0, C (number of classes)=20, Train size=1422, Test size=14362026.03 | 0.958 | — | |
| LLM NASm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=0, C (number of classes)=20, Train size=1422, Test size=1436, NAS search budget (cycles)=102026.03 | 0.958 | — | |
| ODE-RNNDrop Rate (p%)=30%2021.10 | 0.954 | — | |
| ODE-RNNDrop Rate (p%)=70%2021.10 | 0.953 | — | |
| HiPPO-LegSOOD Scenario=Missing values downsample2020.08 | 0.949 | — | |
| DTW2019.06 | 0.948 | — | |
| HiPPO-LegSOOD Scenario=Missing values upsample2020.08 | 0.945 | — | |
| GRU-DDrop Rate (p%)=30%2021.10 | 0.942 | — | |
| GP-KCONV1D2019.06 | 0.941 | — | |
| MUSE2019.06 | 0.937 | — | |
| GRU-AtDrop Rate (p%)=30%2021.10 | 0.936 | — | |
| mVARF2019.06 | 0.928 | — | |
| GRU-ODEDrop Rate (p%)=30%2021.10 | 0.926 | — | |
| GRU-DDrop Rate (p%)=70%2021.10 | 0.919 | — | |
| GRU-AtDrop Rate (p%)=50%2021.10 | 0.913 | — | |
| kNN DTW2026.03 | 0.912 | — | |
| MIHT2026.03 | 0.908 | — | |
| GRU-AtDrop Rate (p%)=70%2021.10 | 0.904 | — | |
| GRU-DDrop Rate (p%)=50%2021.10 | 0.902 | — | |
| HiPPO-LegSOOD Scenario=200Hz -> 100Hz2020.08 | 0.901 | — | |
| Baseline end-to-endm (number of modalities)=1, dm (number of variates)=3, Tm (sequence length)=0, C (number of classes)=20, Train size=1422, Test size=14362026.03 | 0.901 | — | |
| ARKernel2019.06 | 0.9 | — | |
| SVM RBF2026.03 | 0.9 | — | |
| HIVEC OTE22026.03 | 0.9 | — | |
| GRU-ODEDrop Rate (p%)=70%2021.10 | 0.899 | — | |
| DrCIF2026.03 | 0.895 | — | |
| ROCKET2026.03 | 0.895 | — | |
| HiPPO-LegSOOD Scenario=100Hz -> 200Hz2020.08 | 0.888 | — | |
| MUSE2026.03 | 0.88 | — | |
| GRU-ODEDrop Rate (p%)=50%2021.10 | 0.867 | — | |
| ST2026.03 | 0.854 | — | |
| TapNet2026.03 | 0.811 | — | |
| kNN ED2026.03 | 0.7 | — | |
| NCDEOOD Scenario=Missing values downsample2020.08 | 0.697 | — | |
| LMUOOD Scenario=Missing values downsample2020.08 | 0.678 | — | |
| GRUOOD Scenario=200Hz -> 100Hz2020.08 | 0.646 | — | |
| NCDEOOD Scenario=Missing values upsample2020.08 | 0.639 | — | |
| SVM Linear2026.03 | 0.589 | — | |
| NCDEOOD Scenario=100Hz -> 200Hz2020.08 | 0.447 | — | |
| ODE-RNNOOD Scenario=100Hz -> 200Hz2020.08 | 0.418 | — | |
| LMUOOD Scenario=Missing values upsample2020.08 | 0.393 | — | |
| LSTMOOD Scenario=Missing values downsample2020.08 | 0.349 | — | |
| LSTMOOD Scenario=100Hz -> 200Hz2020.08 | 0.319 | — | |
| ODE-RNNOOD Scenario=200Hz -> 100Hz2020.08 | 0.315 | — | |
| LSTMOOD Scenario=200Hz -> 100Hz2020.08 | 0.282 | — | |
| GRUOOD Scenario=Missing values upsample2020.08 | 0.282 | — | |
| GRUOOD Scenario=Missing values downsample2020.08 | 0.273 | — | |
| GRU-DOOD Scenario=200Hz -> 100Hz2020.08 | 0.255 | — | |
| GRUOOD Scenario=100Hz -> 200Hz2020.08 | 0.254 | — | |
| LSTMOOD Scenario=Missing values upsample2020.08 | 0.244 | — | |
| GP-LSTM2019.06 | 0.233 | — | |
| GRU-DOOD Scenario=100Hz -> 200Hz2020.08 | 0.231 | — | |
| LMUOOD Scenario=200Hz -> 100Hz2020.08 | 0.131 | — | |
| GP-GRU2019.06 | 0.114 | — | |
| NCDEOOD Scenario=200Hz -> 100Hz2020.08 | 0.113 | — | |
| GRU-DOOD Scenario=Missing values downsample2020.08 | 0.077 | — | |
| ODE-RNNOOD Scenario=Missing values downsample2020.08 | 0.077 | — | |
| LMUOOD Scenario=100Hz -> 200Hz2020.08 | 0.06 | — | |
| GRU-DOOD Scenario=Missing values upsample2020.08 | 0.055 | — | |
| ODE-RNNOOD Scenario=Missing values upsample2020.08 | 0.043 | — | |
| GP-GRUH (hidden units)=128, D (signature depth)=12019.06 | — | 3.523 | |
| GP-KCONV1D2019.06 | — | 0.409 | |
| GP-LSTMH (hidden units)=128, D (signature depth)=12019.06 | — | 2.506 | |
| GP-SIG2019.06 | — | 0.108 | |
| GP-SIG-GRUH (hidden units)=128, D (signature depth)=12019.06 | — | 0.258 | |
| GP-SIG-LSTMH (hidden units)=8, D (signature depth)=12019.06 | — | 0.031 |