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Time Series Classification on UCR First Part (test)

86.67ACSF1 AccuracyTiConvNext
69.333273.834178.33582.8359Feb 21, 2025Apr 22, 2025Jun 22, 2025Aug 21, 2025Oct 21, 2025Dec 20, 2025Feb 19, 2026

Evaluation results

MethodLinks
TiConvNextMode=Zero-shot feature extraction, Classifier=Random Forest2026.0286.6765.4766.7668.0560.6777.1499.3382.229510099.3772.2287.1770.7381.0110074.1366.4166.571.264.0990.0977.775.4869.5453.3378.2690.178.3393.8697.156.2637.5774.5876.1734.868.6681.8276.6567.490.6790.8176.2699.0895.5988.3573.5967.9546.9282.9584.3996.6796.7399.7999.3763.4988.7451.4155.7394.9645.7698.9395.0553.65
TiConvNext2025.0286.6765.4766.7668.0560.6777.1499.3382.229510099.3772.2287.1770.7381.0110074.1366.4166.571.264.0990.0977.775.4869.5453.3378.2690.178.3393.8697.156.2637.5774.5876.1734.868.6681.8276.6567.490.6790.8176.2699.0895.5988.3573.5967.9546.9282.9584.3996.6796.7399.7999.3763.4988.7451.4155.7394.9645.7698.9395.0553.65
Chronos2Mode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.028682.8668.4370.436685.141007080901008598.5476.7289.8610076.875.6473.5972.3171.6394.7774.176.4565.4752.589.1396.388493.4299.0758.8443.9274.8271.6865.475.3390.9185.7679.5694.2992.880.7499.5196.8894.6273.087035.3890.1286.7199.3399.0599.3797.7869.5293.7850.3251.5697.4843.6410091.9763.13
TiRexMode=Zero-shot feature extraction, Classifier=Random Forest2026.028578.5264.9570.5260.5778.869684.4491.6788.3399.1566.6796.8970.1889.7698.817669.2372.2272.4872.0186.1774.178.7466.6750.4276.3394.938693.3189.5553.1341.4474.8270.430.676.5179.1779.9563.8183.2494.0981.492.6182.0884.0566.1565.1338.9787.0287.5596.4498.2199.4796.7271.4387.5752.7163.5496.9244.9196.9288.8965.1
TiViT-HMode=Zero-shot feature extraction, Classifier=Random Forest2026.028570.5960.2965.1461.2976.3897.7875.5693.338599.7873.8996.3170.7681.6410073.3371.3771.2876.4165.5286.4978.1877.967.1544.1781.6492.758394.0393.4653.8744.274.176.240.4769.1164.7778.1564.2590.2989.7577.9498.2793.5391.47066.6744.186.6384.3999.3398.7399.6898.5265.0888.7450.7659.3897.7638.4810094.5152.58
TiRex2025.028578.5264.9570.5260.5778.869684.4491.6788.3399.1566.6796.8970.1889.7698.817669.2372.2272.4872.0186.1774.178.7466.6750.4276.3394.938693.3189.5553.1341.4474.8270.430.676.5179.1779.9563.8183.2494.0981.492.6182.0884.0566.1565.1338.9787.0287.5596.4498.2199.4796.7271.4387.5752.7163.5496.9244.9196.9288.8965.1
TiViT-H2025.028570.5960.2965.1461.2976.3897.7875.5693.338599.7873.8996.3170.7681.6410073.3371.3771.2876.4165.5286.4978.1877.967.1544.1781.6492.758394.0393.4653.8744.274.176.240.4769.1164.7778.1564.2590.2989.7577.9498.2793.591.47066.6744.186.6384.3999.3398.7399.6898.5265.0888.7450.7659.3897.7638.4810094.5152.58
Chronos2Mode=Zero-shot feature extraction, Classifier=Random Forest2026.0284.6781.0760.3864.1962.0577.996.6773.3386.679099.373.8997.1870.9581.3592.8674.1369.9171.3772.9972.0889.9878.1880.3169.349.1783.3396.388493.3191.0253.8738.474.5874.8943.6770.2468.1876.0366.8986.2991.7479.1897.1891.8591.0466.9274.3635.3888.5781.8699.5698.5298.8497.7864.1391.0854.4466.6795.841.9495.1887.1562.71
Chronos22025.0284.6781.0760.3864.1962.0577.996.6773.3386.679099.373.8997.1870.9581.3592.8674.1369.9171.3772.9972.0889.9878.1880.3169.349.1783.3396.388493.3191.0253.8738.474.5874.8943.6770.2468.1876.0366.8986.2991.7479.1897.1891.8591.0466.9274.3635.3888.5781.8699.5698.5298.8497.7864.1391.0854.4466.6795.841.9495.1887.1562.71
TiViT-HMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.028371.876773.7167.7182.2910076.67859099.8981.6796.7976.2293.5510076.475.978.7279.7468.6796.7371.2275.3666.915084.0694.938693.7897.9159.6747.2470.576.3558.475.2187.587.5178.6894.8691.3679.6399.6598.3997.8575.3866.1546.9290.785.4499.3399.3710098.7374.2994.3249.3553.1298.3239.8210098.855.1
TiConvNextMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.028370.5969.4372.2965.8682.2910083.33959599.898593.8877.7194.210082.874.8774.6275.967.3796.7372.6676.8165.4756.2584.0691.38693.1198.9557.4642.5469.7877.645873.6792.0585.6177.1497.1492.2777.999.7599.0299.4676.1567.6949.2385.4781.6599.3398.7399.6899.3772.3892.1652.2760.9498.3244.7310098.856.52
Catch22+Mode=Zero-shot feature extraction, Classifier=Random Forest2026.0282.3373.459.5763.1954.6274.110068.8978.338597.6375.5697.9666.8288.7298.8173.4769.7469.2374.2775.2394.0171.779.1164.7564.1783.3398.558593.9879.7559.4850.9275.0673.963876.8289.7785.5872.676.1991.0172.9299.9692.5192.2967.9562.0539.2387.7973.8494.6798.8499.3710060.6390.3648.3852.0896.9238.9110010062.9
MantisV2Mode=Zero-shot feature extraction, Classifier=Random Forest2026.0282.3384.8368.4369.168.8180.5799.5668.8998.339099.4875.5695.3470.4180.8910072.1377.3578.881.7173.4183.0176.0278.8670.7453.3379.9595.1783.6793.8187.0758.8448.1674.3474.2437.9372.0591.6784.3971.0693.1493.0379.7998.5793.594.2771.2861.5443.8592.0591.1497.7898.4210099.6866.9890.3650.1163.0295.2438.5510010060.56
Catch22+2025.0282.3373.459.5763.1954.6274.110068.8978.338597.6375.5697.9666.8288.7298.8173.4769.7469.2374.2775.2394.0171.779.1164.7564.1783.3398.558593.9879.7559.4850.9275.0673.963876.8289.7785.5872.676.1991.0172.9299.9692.5192.2967.9562.0539.2387.7973.8494.6798.8499.3710060.6390.3648.3852.0896.9238.9110010062.9
Mantis2025.0282.3384.8368.4369.168.8180.5799.5668.8998.339099.4875.5695.3470.4180.8910072.1377.3578.881.7173.4183.0176.0278.8670.7453.3379.9595.1783.6793.8187.0758.8448.1674.3474.2437.9372.0591.6784.3971.0693.1493.0379.7998.5793.594.2771.2861.5443.8592.0591.1497.7898.4210099.6866.9890.3650.1163.0295.2438.5510010060.56
MOMENTMode=Zero-shot feature extraction, Classifier=Random Forest2026.028278.9461.3866.2457.6779.4398.6778.899598.3396.7875.5697.7669.7368.3192.8662.6768.5567.3574.8771.4188.2475.379.5965.7145.8381.1697.588793.881.356.5445.374.5872.584471.7876.8979.5970.9984.7686.1173.7491.0878.7810067.4457.6938.4687.7986.598.6795.2599.1695.9873.3390.952.3858.8593.8432.2493.0482.4662.58
MOMENT2025.028278.9461.3866.2457.6779.4398.6778.899598.3396.7875.5697.7669.7368.3192.8662.6768.5567.3574.8771.4188.2475.379.5965.7145.8381.1697.588793.881.356.5445.374.5872.584471.7876.8979.5970.9984.7686.1173.7491.0878.7810067.4457.6938.4687.7986.598.6795.2599.1695.9873.3390.952.3858.8593.8432.2493.0482.4662.58
TabICLMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.028180.3150.4351.1445.2974.299876.67807592.4481.6797.9697.7382.2510065.666.4163.3366.9281.295.176.2677.5468.3572.579.7197.838894.4798.265043.3774.8266.1469.477.188.6487.7171.6588.5787.5871.3698.7780.9878.4967.6958.4636.1587.7975.3295.3398.4210010072.3892.746.164.0675.6334.3610010065.56
TabICLMode=Zero-shot feature extraction, Classifier=Random Forest2026.028180.3150.4351.1445.2974.299876.67807592.4481.6797.9697.7382.2510065.666.4163.3366.9281.295.176.2677.5468.3572.579.7197.838894.4798.265043.3774.8266.1469.477.188.6487.7171.6588.5787.5871.3698.7780.9878.4967.6958.4636.1587.7975.3295.3398.4210010072.3892.746.164.0675.6334.3610010065.56
TabICL2025.028180.3150.4351.1445.2974.299876.67807592.4481.6797.9697.7382.2510065.666.4163.3366.9281.295.176.2677.5468.3572.579.7197.838894.4798.265043.3774.8266.1469.477.188.6487.7171.6588.5787.5871.3698.7780.9878.4967.6958.4636.1587.7975.3295.3398.4210010072.3892.746.164.0675.6334.3610010065.56
Mantis+Mode=Zero-shot feature extraction, Classifier=Random Forest2026.0280.3383.2164.1469.164.5277.1496.6763.3391.6788.3398.5979.4494.9568.7473.8497.627473.575.8177.9573.182.978.1881.8868.8258.7581.6498.5581.6793.7484.4860.1346.9674.172.6933.269.2178.4180.1668.1386.8689.675.8496.0887.1377.9670.7760.7742.0591.6793.889898.5299.0599.6870.1689.735460.4294.9639.2710010053.59
TabPFNMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.028080.3162.2963.2953.2975.4310080908591.3378.3398.549583.4196.436266.677067.1879.8996.0876.2678.2669.7861.2578.9998.558994.292.4552.7648.974.8270.2584.880.7790.9187.6673.858889.775.5699.8689.3386.5662.3156.1536.9284.8878.4896.6799.0599.6810074.2991.6247.0859.3884.8733.4510010066.72
TabPFNMode=Zero-shot feature extraction, Classifier=Random Forest2026.028080.3162.2963.2953.2975.4310080908591.3378.3398.549583.4196.436266.677067.1879.8996.0876.2678.2669.7861.2578.9998.558994.292.4552.7648.974.8270.2584.880.7790.9187.6673.858889.775.5699.8689.3386.5662.3156.1536.9284.8878.4896.6799.0599.6810074.2991.6247.0859.3884.8733.4510010066.72
TabPFN2025.028080.3162.2963.2953.2975.4310080908591.3378.3398.549583.4196.436266.677067.1879.8996.0876.2678.2669.7861.2578.9998.558994.292.4552.7648.974.8270.2584.880.7790.9187.6673.858889.775.5699.8689.3386.5662.3156.1536.9284.8878.4896.6799.0599.6810074.2991.6247.0859.3884.8733.4510010066.72
Mantis+Mode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.027984.1471.7174.1466.5784.5710066.67809099.5688.3397.3868.5785.5810071.275.6480.7779.2373.6492.1672.6677.965.4758.7584.0698.558993.2297.7957.7346.1368.3573.015574.592.0588.178.689692.6578.8999.0591.5892.4773.8556.1544.6292.4487.9798.6798.7399.6899.6858.192.753.2562.594.1240.3610010058.38
MantisV2Mode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.027683.637374.7168.1485.1410073.33859099.6781.6796.2171.1585.0710070.478.2181.5481.2873.4892.8177.776.8168.355086.2397.18893.5399.356.9151.3871.9471.7559.275.7498.8691.1781.989694.3280.9999.6198.4997.3177.6964.6244.6293.0290.519899.3710099.6870.4892.9750.3268.7593.2839.0910010059.6
MOMENTMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.027577.7566.1470.2960.5777.7199.33809510098.899098.2577.8976.8196.4361.274.3670.7774.3672.3494.1266.9175.3662.5943.7584.0698.559093.3396.9856.355070.574.0468.277.8787.589.1277.589690.6175.5698.8181.8610068.4657.6936.9289.5389.2410097.7899.6892.765.7194.0549.0364.0693.2836.3694.7883.5362.12
TiRexMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.027578.2670.1473.1463.4378.2999.3393.33909099.678098.2580.1895.65100807075.3873.3370.2992.8174.827565.475578.9995.658393.9197.5657.1841.7169.0667.0950.878.7695.4587.7672.3190.2994.781.699.1289.1295.1669.2361.5440.7788.3784.189899.0599.3796.5170.4887.5747.7360.9498.3243.8299.695.5862.53
NuTimeMode=Zero-shot feature extraction, Classifier=Random Forest2026.027573.5765.056362.2477.3384.6766.678096.6797.2676.6792.8167.173.1492.8676.2766.6768.8967.7867.5486.1773.8677.7868.8254.1778.2695.8982.3393.3278.7145.2126.774.3470.6634.8764.8780.371.461.3991.6289.3475.2797.6693.9570.0765.6456.6739.2389.1583.7694.2297.1597.8910071.1189.6447.464.5888.523210010051.67
NuTime2025.027573.5765.056362.2477.3384.6766.678096.6797.2676.6792.8167.173.1492.8676.2766.6768.8967.7867.5486.1773.8677.7868.8254.1778.2695.8982.3393.3278.7145.2126.774.3470.6634.8764.8780.371.461.3991.6289.3475.2797.6693.9570.0765.6456.6739.2389.1583.7694.2297.1597.8910071.1189.6447.464.5888.523210010051.67
Catch22+Mode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.027066.554.8652.2948.2971.4399.3363.33708097.3383.3397.6758.8884.2810066.861.0359.4963.3368.7496.7371.2275.3661.8757.585.5197.838593.9186.9952.7647.7974.167.5356.880.2488.6484.9872.3186.2987.4272.7299.1694.0791.9462.3163.8540.7781.9870.2592.6794.310010062.8688.3841.8857.8194.9637.8299.293.1758.18
NuTimeMode=Zero-shot, Task=Feature extraction, Classifier=Logistic Regression2026.027080.0560.7165.2954.1472.5796.6773.33701009973.3396.2160.8685.5110078.870.5168.9765.968.9591.570.574.2868.355581.8896.388591.9389.953.3133.1573.3867.865272.0796.5981.9571.6591.4390.6176.5499.498.6374.7368.4656.1544.6289.5377.2297.3396.8498.7310073.3388.6542.5353.1289.9235.6410010051.01