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Jun 24th, 2019
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  1. mod1 <- auto.arima(x)
  2. refit <- Arima(y, model=mod1)
  3. > accuracy(refit)
  4. ME RMSE MAE MPE MAPE MASE ACF1
  5. Training set -0.8 1.549193 1.2 -69.33333 77.33333 0.8 -0.05
  6.  
  7. ActualData FittedValue AbsolutePercentageError
  8. 120 119.5 (abs(120-119)/120)*100 = 0.83%
  9. 128 126 (abs(128-126)/128)*100 = 1.56%
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