ARIMA (1,1,33) model showed better accuracy. Although within the measurement of MAPE, the accuracy was 99.74% and ARIMA (1,2,33) was 99.75% which is almost the same. However, owing to its result from holdout test it is considered the best accuracy among the three models.
Read moreIs ARIMA good for long term forecasting?
The ARIMA models have proved to be excellent short-term forecasting models for a wide variety of time series.
Read moreHow is ARIMA model used in forecasting?
Autoregressive integrated moving average (ARIMA) models predict future values based on past values . ARIMA makes use of lagged moving averages to smooth time series data. They are widely used in technical analysis to forecast future security prices.
Read moreIs ARIMA time series forecasting?
ARIMA is a form of regression analysis that indicates the strength of a dependent variable relative to other changing variables. The final objective of the model is to predict future time series movement by examining the differences between values in the series instead of through actual values .
Read moreIs ARIMA best for forecasting?
ARIMA (Autoregressive Integrated Moving Average): ARIMA is arguably the most popular and widely used statistical technique for forecasting .
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