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Table 1 The MAE and RMSE indexes of time series prediciton over the five datasets(ε=50)

From: VAECGAN: a generating framework for long-term prediction in multivariate time series

Models SML2020 NASDAQ100 Energy EEG KDDCUP
LSTM 0.7924 0.4362 1.3416 0.3977 0.3556
  0.7145 0.3389 0.5968 0.4304 0.3928
Seq2Seq 0.7594 0.3491 1.2385 0.2814 0.3014
  0.6451 0.3369 0.6147 0.3816 0.3684
DARNN 0.5134 0.1554 1.1561 0.2951 0.2579
  0.3938 0.2881 0.5912 0.3817 0.3177
TCN 0.5614 0.0993 1.1154 0.2411 0.1935
  0.4989 0.2412 0.5983 0.3591 0.2881
DSTPRNN 0.3254 0.1217 1.0471 0.2589 0.1753
  0.2589 0.2621 0.5477 0.3127 0.1829
VAE 0.4388 0.1898 1.2378 0.2426 0.2253
  0.4136 0.2716 0.5471 0.3802 0.2968
VAECGAN 0.3115 0.0579 0.8294 0.2193 0.1654
  0.1638 0.1911 0.4516 0.3452 0.1901