Given the prediction results of random forest calculate point forecast, 95% confidence intervals, forecast-accuracy for the test set

rf_forecast(
predictions,
tslist,
database,
function_name,
h,
accuracy,
holdout = TRUE
)

## Arguments

predictions prediction results obtained from random forest classifier list of new time series whethe the time series is from mcom or other specify the name of the accuracy function (for eg., cal_MASE, etc.) to calculate accuracy measure, ( if a user written function the arguments for the accuracy function should be training period, test period and forecast). length of the forecast horizon if true a accuaracy measure will be calculated if holdout=TRUE take a holdout sample from your data to caldulate forecast accuracy measure, if FALSE all of the data will be used for forecasting. Default is TRUE

## Value

a list containing, point forecast, confidence interval, accuracy measure