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Published by : http://www.ijert.orgInternational Journal of Engineering Research & Technology (INERT) ISSN: 22780181 Vol. 11 Issue 02, February2022Using SA RIMA Method to Forecast Office Supplier
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Identify the time series data you want to forecast
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Split the data into training and testing sets
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Fit a SARIMA model to the training data
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Use the model to make forecasts on the testing data
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Evaluate the accuracy of the forecasts using metrics such as Mean Squared Error

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Anyone working with time series data looking to make accurate forecasts
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SARIMA method is used for time series analysis and forecasting.
Anyone who needs to analyze or forecast time series data can use SARIMA method.
To use SARIMA method, one must fit the model to historical data and then make forecasts based on the model.
The purpose of using SARIMA method is to provide accurate forecasts for time series data.
The information reported when using SARIMA method includes historical data, forecasted values, and model parameters.
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