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Time Series Classification on UEA-27 (test)

96.18EigenWorms AccuracyTiConvNext
39.81254.44669.0883.714Feb 21, 2025May 15, 2025Aug 6, 2025Oct 29, 2025Jan 20, 2026Apr 13, 2026Jul 6, 2026

Evaluation results

MethodLinks
TiConvNextMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0296.1897.6710097.141005698.1510046.0158.065339.1934.7174.1542.294.3259.1292.785087.2280.3525.6885.5384.9849.4496.7385.9473.5——
TiViT-HMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0293.1398.3310096.591004898.5210050.5759.965729.7333.4172.6841.194.8660.1492.785787.2270.5225.286.8484.9852.789691.8873.3——
TiConvNextmode=zero-shot, classifier=Random Forest2026.0293.139810095.1799.544496.310036.6353.2153.3332.8824.9473.532.4387.2160.0490.744985.7497.6927.0985.0979.2950.5691.3981.5671.05——
TiConvNextsetting=zero-shot feature extraction2025.0293.139810095.1799.544496.310036.6353.2153.3332.8824.9473.532.4387.2160.0490.744985.7497.6927.0985.0979.2950.5691.3981.5671.053—
Mantis+Mode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0291.699.3310098.1298.615499.2610039.5459.255735.1441.5375.6156.496.2265.94955591.6779.7728.6992.1187.3753.8997.1490.6275.51——
TiViT-Hmode=zero-shot, classifier=Random Forest2026.0288.898.3398.3393.7310043.3398.1510038.665553.6728.8323.7372.5232.0388.259.5390.375186.8597.327.1385.3179.8649.0789.3185.4270.91——
TiViT-Hsetting=zero-shot feature extraction2025.0288.898.3398.3393.7310043.3398.1510038.665553.6728.8323.7372.5232.0388.259.5390.375186.8597.327.1385.3179.8649.0789.3185.4270.912—
MantisV2Mode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0288.5599.3310098.6898.615098.8910042.5958.346431.0839.8879.5160.495.9565.994.445089.4483.2432.1590.1386.6951.1198.0492.1975.52——
LRU2026.0787.8———————21.5————78.4————48.4————82.651.2——61.7—3.5
Catch22+mode=zero-shot, classifier=Random Forest2026.0287.539610098.1494.4451.3388.2798.5542.7152.7349.6733.7828.1274.9636.1795.561.5883.8943.3371.4884.0124.9980.0477.0249.2688.9887.669.63——
Catch22+setting=zero-shot feature extraction2025.0287.539610098.1494.4451.3388.2798.5542.7152.7349.6733.7828.1274.9636.1795.561.5883.8943.3371.4884.0124.9980.0477.0249.2688.9887.669.634—
NuTimeMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0287.0299.3310098.471005098.1510041.0661.896137.8425.2974.1561.898.1155.7291.675986.6789.624.7591.4585.675596.4592.574.91——
Log-NCDE2026.0785.6———————34.4————75.2————53.7————83.153.7——64.3—2.1
S62026.0785———————26.4————76.5————51.3————82.849.9——62—3.5
TiRexMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0283.979910096.941003897.7810040.3666232.4341.6577.0739.394.0559.2189.444883.8977.4623.5988.8284.9849.4496.4187.1972.48——
Chronos2Mode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0283.9799.3310097.421003497.7810054.7563.626033.7835.4175.1234.49060.1490.565382.2281.524.3186.8484.9848.3391.5992.572.43——
NRDE2026.0783.9———————25.3————72.9————47————80.953.7——60.6—4.9
MOMENTMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0283.2198.6710098.498.614897.0499.2847.1562.065731.0837.8870.2429.892.4360.5485.564984.4478.6119.8684.8782.5951.1197.9191.5671.74——
Mantis+mode=zero-shot, classifier=Random Forest2026.0281.9399.5610097.6198.6150.6798.7710040.5655.665132.4330.8679.8462.7794.0566.7692.7849.6789.2699.6131.0792.3277.3656.1192.8589.0674.49——
MantisV2mode=zero-shot, classifier=Random Forest2026.0281.4299.2210097.6198.615498.7799.7641.8354.925527.9328.0879.1960.7393.9665.9992.4146.6788.8999.6132.1391.0181.3451.6793.7488.9674.2——
Mantissetting=zero-shot feature extraction2025.0281.4299.2210097.6198.615498.7799.7641.8354.925527.9328.0879.1960.7393.9665.9992.4146.6788.8999.6132.1391.0181.3451.6793.7488.9674.211—
S52026.0781.1———————24.1————77.7————47.7————89.950.5——61.8—4
Chronos2mode=zero-shot, classifier=Random Forest2026.0280.1599.3310096.3198.6141.3398.7710034.8557.1652.3327.4825.7673.1728.0381.6258.9286.485383.8999.6127.0982.4678.551.6776.1988.3369.67——
Chronos2setting=zero-shot feature extraction2025.0280.1599.3310096.3198.6141.3398.7710034.8557.1652.3327.4825.7673.1728.0381.6258.9286.485383.8999.6127.0982.4678.551.6776.1988.3369.676—
TiRexmode=zero-shot, classifier=Random Forest2026.0278.639996.6796.0399.544297.6510027.561.335231.5325.2572.5228.789.2857.3389.6349.3382.9699.6126.8683.5578.8449.6375.4786.1569.52——
TiRexsetting=zero-shot feature extraction2025.0278.639996.6796.0399.544297.6510027.561.335231.5325.2572.5228.789.2857.3389.6349.3382.9699.6126.8683.5578.8449.6375.4786.1569.522—
Catch22+Mode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0276.3493.3310098.490.284290.7496.3837.2654.745235.1423.0675.6132.496.4950.9384.445081.6771.120.5873.0374.447.7890.0485.9467.56——
MOMENTmode=zero-shot, classifier=Random Forest2026.0276.0898.4497.596.9897.2244.6796.7999.2829.5355.45329.282673.1726.788.4763.1384.6352.3383.5299.6121.1284.6577.4749.0794.4789.1769.91——
MOMENTsetting=zero-shot feature extraction2025.0276.0898.4497.596.9897.2244.6796.7999.2829.5355.45329.282673.1726.788.4763.1384.6352.3383.5299.6121.1284.6577.4749.0794.4789.1769.912—
NCDE2026.0775———————29.9————73.9————49.5————79.853——60.2—4.5
NuTimemode=zero-shot, classifier=Random Forest2026.0273.5499.1110096.799.0742.6797.6510041.3256.9152.6728.8320.5577.5661.4393.4256.7387.784883.3399.2326.6491.2379.5250.7490.1688.8571.99——
NuTimesetting=zero-shot feature extraction2025.0273.5499.1110096.799.0742.6797.6510041.3256.9152.6728.8320.5577.5661.4393.4256.7387.784883.3399.2326.6491.2379.5250.7490.1688.8571.993—
Mamba2026.0770.9———————27.9————76.2————47.7————80.748.2——58.6—5.5
TabICLMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0256.49919596.9484.722885.1995.6560.4664.024939.1922.5972.68—81.6250.1663.895779.4494.2217.1284.8788.7450.5696.1376.25———
TabICLmode=zero-shot, classifier=Random Forest2026.0256.49919596.9484.722885.1995.6560.4664.024939.1922.5972.68—81.6250.1663.895779.4494.2217.1284.8788.7450.5696.1376.2568.5——
TabICLsetting=zero-shot feature extraction2025.0256.49919596.9484.722885.1995.6560.4664.024939.1922.5972.68—81.6250.1663.895779.4494.2217.1284.8788.7450.5696.1376.2568.52—
TabPFNMode=Zero-shot feature extraction, Classifier=Logistic Regression2026.0241.989310096.7381.943288.8991.378.3363.255043.2413.8872.223.881.3554.7967.225877.7894.814.8581.5889.4247.7895.9180.6267.21——
TabPFNmode=zero-shot, classifier=Random Forest2026.0241.989310096.7381.943288.8991.378.3363.255043.2413.8872.223.881.3554.7967.225877.7894.814.8581.5889.4247.7895.9180.6267.21——
TabPFNsetting=zero-shot feature extraction2025.0241.989310096.7381.943288.8991.378.3363.255043.2413.8872.223.881.3554.7967.225877.7894.814.8581.5889.4247.7895.9180.6267.215—