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Multivariate Time Series Classification on UEA multivariate time-series archive (test)

74.7Ethanol Concentration ScoreiTransformer
19.37233.73648.162.464Aug 6, 2025Sep 22, 2025Nov 9, 2025Dec 26, 2025Feb 12, 2026Mar 31, 2026May 18, 2026

Evaluation results

MethodLinks
iTransformer2026.0574.721.871.844.431.98120.661.657.244.445.660.68633.773.134.451.545.350.13821.12.491.836.21949.87.457.234—2.6
Transformer2026.0572.73.877.222.644.21630.24.638.148.664.575.227.641.11.938.617.148.16.623.81.47819.616.447.81.46719.9—1.4
Informer2026.0572.42.468.502.841.811.420.62.935.44942.972.928.337.9237.917.1498.817.81.977.516.117.448.51.67413.5—1.4
FCN2026.0571.76.278.301.640.22019.14.545.750.564.266.426.536.92.333.825.250.44.823.52.177.318.322.747.24.866.841.4—2.8
Mamba22026.0571.15.174.20349.117.716.63.346.448.868.371.727.638.22.233.925.249.65.922.72.174.616.421.548.53.568.320—1.9
MS42026.0570.93.468.70.21.941.217.917.96.236.550.661.374.725.431.12.536.315.447.78.917.91.67416.416.847.80.868.29.1—0.8
HInception2026.0570.82.470.70.11.444.51659.42.835.844.862.75228.531.31.546.513.248.2526.11.673.113.519.2470.866.511.1—0.6
Mamba12026.0570.713.881.82.96.245.227.819.37.145.450.470.973.228.338.14.740.129.149.76.818.91.877.223.924.1482.76722.9—1.8
MS4N2026.0570.43.567.701.940.814.413.96.137.550.462.364.327.430.32.33415.5486.618.11.673.114.316.448.10.66810.1—0.6
GRU2026.0570.21067.26.96.648.623.554.36.640.247.665.687.633.340.53.336.318.1526.624.31.478.617.936.448.24.966.328.1—1.7
LSTM2026.0570.217.468.57.810.251.625.455.613.941.347.363.691.534.448.94.63829.950.88.628.11.681.718.939.349.989.966.547.4—9.4
ConvTran2026.0569.81.678.70.21.549.210.534.62.634.344.362.160.326.828.61.837.110.8485.422.41.470.81613.947.40.869.210—0.6
FLASH PD-SSM2026.0543.7——————93.8—————77.2————57.9—————86.156.1———69.1—
MSTN-BiLSTMArchitecture=BiLSTM2025.1141.51————————59.41——91.284.77—99.31————90.87———84.7854.2799.68—93.1879.9—
MSTN-TransformerArchitecture=Transformer2025.1137.92————————67.05——81.9782.42—98.63————89.92———84.2153.58100—92.3778.81—
TimesNetReference Year=20232025.1135.7————————68.6——32.178—98.4————89.6———91.857.299—85.373.67—
PD-SSM2026.0534.7——————90—————80————60—————80.956.1———67—
Log-NCDE2026.0534.4——————85.6—————75.2————53.7—————83.153.7———64.3—
FlowformerReference Year=2022a2025.1133.8————————67.6——33.877.6—98.9————83.8———92.556.198.8—86.672.85—
StationaryReference Year=20212025.1132.7————————68——31.673.7—99.2————87.3———89.457.2100—87.572.73—
TransformerReference Year=20172025.1132.7————————67.3——3276.1—98.7————82.1———92.253.998.4—85.671.9—
DLinearReference Year=20232025.1132.6————————68——2775.1—96.2————75.1———87.350.581.4—82.165.53—
GPT2 (6)Reference Year=20232025.1131.9————————67.3——3276.1—98.6————82.1———93.259.499.2—88.172.79—
ReformerReference Year=20202025.1131.9————————68.6——27.477.1—97.8————82.7———90.456.797—85.671.52—
AutoformerReference Year=2021a2025.1131.6————————68.4——36.774.6—96.2————82.7———8450.6100—85.971.07—
InformerReference Year=20202025.1131.6————————67——32.880.5—98.9————81.5———90.153.3100—85.672.13—
FEDformerReference Year=20222025.1131.2————————66——2873.7—98.4————80.9———88.754.4100—85.370.66—
PyraformerReference Year=20212025.1130.8————————65.7——29.475.6—98.4————83.2———88.153.399.6—83.470.75—
NCDE2026.0529.9——————75—————73.9————49.5—————79.853———60.2—
LinOSS-IMEX2026.0529.9——————80—————75.5————57.9—————87.558.9———65—
LinOSS-IM2026.0529.9——————95—————75.8————60—————87.858.2———67.8—
LightTSReference Year=20222025.1129.7————————67.5——26.175.1—96.2————88.4———89.851.1100—80.370.43—
ETSformerReference Year=20222025.1128.1————————66.3——32.571.2—95.9————86———89.655100—8570.96—
Mamba2026.0527.9——————70.9—————76.2————47.7—————80.748.2———58.6—
FiLMAvg Params=10.93M, Avg GFlops=1.79G2025.0826.8786.1133.3337.553.242077.5331.8156.2862.934933.336.5972.267.5189.3733.9778.335078.766.0990.327.8758.9990.149.8196.9537.7878.4455.9—
S62026.0526.4——————85—————76.5————51.3—————82.849.9———62—
LightTSAvg Params=13.46M, Avg GFlops=3.33G2025.0826.3697.1142.2294.1789.3531.339048.0985.7566.8550.3353.613.1874.6370.2794.8635.0970.9351.6793.3380.1594.425.6869.5291.0153.3397.3846.6782.8165.52—
DLinearAvg Params=26.69M, Avg GFlops=6.36G2025.0825.9897.1128.898591.238.6790.2533.0845.1766.3948.6753.612.9472.5215.7896.3131.5867.965593.769.5690.176.3375.6691.8149.2696.4531.1181.4660.06—
TimesNetAvg Params=56.59M, Avg GFlops=3.05T2025.0825.9897.8935.5699.1791.256.6793.735.1186.2365.2250.6754.9523.4974.9661.9697.8434.1277.784890.7481.3197.2410.7686.6281.9152.4197.544086.4666.74—
LITEAvg Params=53.69K, Avg GFlops=1.57G2025.0825.198.4431.117598.615416.6771.7696.8666.852.3329.2819.6574.1561.6997.9331.8188.5248.6795.7477.0798.3625.0387.7285.2151.4899.5933.3390.6264.91—
TSLANetAvg Params=800.82K, Avg GFlops=3.78G2025.0824.849835.5610097.6962.6787.7877.3593.4857.0454.6731.0833.3773.8254.5496.9433.82855294.0774.1898.0221.8377.1987.7155.1998.4428.8990.6268.13—
PatchTSTAvg Params=684.59K, Avg GFlops=5.45G2025.0824.3397.7826.6760.8391.6717.3394.5731.0496.1464.7852.6744.1414.0859.6759.1794.9541.7374.8152.677567.4494.357.2272.5981.852.7896.3351.1184.2761.45—
PRISMAvg Params=66.26K, Avg GFlops=0.59G2025.0824.2198.334010097.6937.3380.3762.689.6162.6857.3332.8818.048070.4897.0331.7485.564891.6781.797.4425.8173.986.6954.8198.564085.6267.24—
MiniROCKETAvg Params=118.67K, Avg GFlops=9.34G2025.0823.5798.5633.3310098.6152.6797.7848.8510059.96036.4945.3775.4562.3298.0242.593.758.3391.6784.210.3817.9190.5791.0151.8598.1235.5692.1967.2—
MambaAvg Params=241.72K, Avg GFlops=3.82G2025.0823.459826.6794.1798.615892.9652.8496.3865.3554.3354.58.4376.5963.2596.5826.1684.815092.4173.9998.3926.2789.4787.1453.8998.9526.6785.7367.38—
iTransformerAvg Params=563.62K, Avg GFlops=0.28G2025.0823.4598.4428.899087.044291.3647.0771.2664.775451.3523.174.4771.9896.6733.6788.75583.5280.1596.866.6676.3289.6554.8198.1433.3385.9465.47—
LRU2026.0521.5——————87.8—————78.4————48.4—————82.651.2———61.7—