The `plot_predict` function in the `ARIMA` module of the `statsmodels.tsa.arima_model` library in Python is used to visualize the predictions made by an ARIMA model. This function plots the original time series data along with the predicted values from the ARIMA model. It also displays the confidence intervals for the predictions, which helps assess the uncertainty associated with the forecasts. This visualization can be helpful in understanding the accuracy and reliability of the ARIMA model's predictions.
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