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Models/LTBoost (drop_last=false)

LTBoost (drop_last=false)

Reported on 64 benchmarks across 2 tasks

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Time Series64 results

  • Time Series ForecastingonETTh2 (720) Multivariate
    MAE
    0.439
    best: 0.418 (xPatch)
  • Time Series ForecastingonETTh2 (720) Multivariate
    MSE
    0.407
    best: 0.372 (RLinear)
  • Time Series ForecastingonETTh1 (720) Multivariate
    MAE
    0.449
    best: 0.447 (SegRNN)
  • Time Series ForecastingonETTh1 (720) Multivariate
    MSE
    0.435
    best: 0.409 (DiPE-Linear)
  • Time Series ForecastingonETTm1 (192) Multivariate
    MAE
    0.354
  • Time Series ForecastingonETTm1 (192) Multivariate
    MSE
    0.316
    best: 0.315 (xPatch)
  • Time Series ForecastingonETTm2 (96) Multivariate
    MAE
    0.243
    best: 0.24 (xPatch)
  • Time Series ForecastingonETTm2 (96) Multivariate
    MSE
    0.156
    best: 0.153 (xPatch)
  • Time Series ForecastingonETTh2 (336) Multivariate
    MAE
    0.401
    best: 0.36 (xPatch)
  • Time Series ForecastingonETTh2 (336) Multivariate
    MSE
    0.355
    best: 0.312 (xPatch)
  • Time Series ForecastingonETTh1 (192) Multivariate
    MAE
    0.406
    best: 0.394 (PatchMixer)
  • Time Series ForecastingonETTh1 (192) Multivariate
    MSE
    0.396
    best: 0.373 (PatchMixer)
  • Time Series ForecastingonETTh1 (336) Multivariate
    MAE
    0.423
    best: 0.2158 (DeformTime)
  • Time Series ForecastingonETTh1 (336) Multivariate
    MSE
    0.424
    best: 0.374 (D-PAD)
  • Time Series ForecastingonETTm2 (336) Multivariate
    MAE
    0.317
    best: 0.315 (xPatch)
  • Time Series ForecastingonETTm2 (336) Multivariate
    MSE
    0.262
  • Time Series ForecastingonETTm1 (336) Multivariate
    MAE
    0.375
  • Time Series ForecastingonETTm1 (336) Multivariate
    MSE
    0.349
  • Time Series ForecastingonETTm1 (96) Multivariate
    MAE
    0.33
  • Time Series ForecastingonETTm1 (96) Multivariate
    MSE
    0.277
    best: 0.275 (xPatch)
  • Time Series ForecastingonETTm1 (720) Multivariate
    MAE
    0.405
  • Time Series ForecastingonETTm1 (720) Multivariate
    MSE
    0.403
  • Time Series ForecastingonETTh2 (96) Multivariate
    MAE
    0.329
    best: 0.297 (xPatch)
  • Time Series ForecastingonETTh2 (96) Multivariate
    MSE
    0.263
    best: 0.225 (PatchMixer)
  • Time Series ForecastingonETTm2 (192) Multivariate
    MAE
    0.282
    best: 0.28 (xPatch)
  • Time Series ForecastingonETTm2 (192) Multivariate
    MSE
    0.21
  • Time Series ForecastingonETTh1 (96) Multivariate
    MAE
    0.382
    best: 0.376 (SegRNN)
  • Time Series ForecastingonETTh1 (96) Multivariate
    MSE
    0.357
    best: 0.341 (SegRNN)
  • Time Series ForecastingonETTh2 (192) Multivariate
    MAE
    0.377
    best: 0.33 (xPatch)
  • Time Series ForecastingonETTh2 (192) Multivariate
    MSE
    0.332
    best: 0.274 (PatchMixer)
  • Time Series ForecastingonETTm2 (720) Multivariate
    MAE
    0.375
    best: 0.363 (xPatch)
  • Time Series ForecastingonETTm2 (720) Multivariate
    MSE
    0.349
    best: 0.338 (xPatch)
  • Time Series AnalysisonETTh2 (720) Multivariate
    MAE
    0.439
    best: 0.418 (xPatch)
  • Time Series AnalysisonETTh2 (720) Multivariate
    MSE
    0.407
    best: 0.372 (RLinear)
  • Time Series AnalysisonETTh1 (720) Multivariate
    MAE
    0.449
    best: 0.447 (SegRNN)
  • Time Series AnalysisonETTh1 (720) Multivariate
    MSE
    0.435
    best: 0.409 (DiPE-Linear)
  • Time Series AnalysisonETTm1 (192) Multivariate
    MAE
    0.354
  • Time Series AnalysisonETTm1 (192) Multivariate
    MSE
    0.316
    best: 0.315 (xPatch)
  • Time Series AnalysisonETTm2 (96) Multivariate
    MAE
    0.243
    best: 0.24 (xPatch)
  • Time Series AnalysisonETTm2 (96) Multivariate
    MSE
    0.156
    best: 0.153 (xPatch)
  • Time Series AnalysisonETTh2 (336) Multivariate
    MAE
    0.401
    best: 0.36 (xPatch)
  • Time Series AnalysisonETTh2 (336) Multivariate
    MSE
    0.355
    best: 0.312 (xPatch)
  • Time Series AnalysisonETTh1 (192) Multivariate
    MAE
    0.406
    best: 0.394 (PatchMixer)
  • Time Series AnalysisonETTh1 (192) Multivariate
    MSE
    0.396
    best: 0.373 (PatchMixer)
  • Time Series AnalysisonETTh1 (336) Multivariate
    MAE
    0.423
    best: 0.2158 (DeformTime)
  • Time Series AnalysisonETTh1 (336) Multivariate
    MSE
    0.424
    best: 0.374 (D-PAD)
  • Time Series AnalysisonETTm2 (336) Multivariate
    MAE
    0.317
    best: 0.315 (xPatch)
  • Time Series AnalysisonETTm2 (336) Multivariate
    MSE
    0.262
  • Time Series AnalysisonETTm1 (336) Multivariate
    MAE
    0.375
  • Time Series AnalysisonETTm1 (336) Multivariate
    MSE
    0.349
  • Time Series AnalysisonETTm1 (96) Multivariate
    MAE
    0.33
  • Time Series AnalysisonETTm1 (96) Multivariate
    MSE
    0.277
    best: 0.275 (xPatch)
  • Time Series AnalysisonETTm1 (720) Multivariate
    MAE
    0.405
  • Time Series AnalysisonETTm1 (720) Multivariate
    MSE
    0.403
  • Time Series AnalysisonETTh2 (96) Multivariate
    MAE
    0.329
    best: 0.297 (xPatch)
  • Time Series AnalysisonETTh2 (96) Multivariate
    MSE
    0.263
    best: 0.225 (PatchMixer)
  • Time Series AnalysisonETTm2 (192) Multivariate
    MAE
    0.282
    best: 0.28 (xPatch)
  • Time Series AnalysisonETTm2 (192) Multivariate
    MSE
    0.21
  • Time Series AnalysisonETTh1 (96) Multivariate
    MAE
    0.382
    best: 0.376 (SegRNN)
  • Time Series AnalysisonETTh1 (96) Multivariate
    MSE
    0.357
    best: 0.341 (SegRNN)
  • Time Series AnalysisonETTh2 (192) Multivariate
    MAE
    0.377
    best: 0.33 (xPatch)
  • Time Series AnalysisonETTh2 (192) Multivariate
    MSE
    0.332
    best: 0.274 (PatchMixer)
  • Time Series AnalysisonETTm2 (720) Multivariate
    MAE
    0.375
    best: 0.363 (xPatch)
  • Time Series AnalysisonETTm2 (720) Multivariate
    MSE
    0.349
    best: 0.338 (xPatch)