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- fit.test <- model_arima %>% forecast(h=length(ts_test))
- seasonal_contribution <- round(100*mean(abs(ts_train_decomposed$seasonal/ts_train), na.rm = TRUE),1)
- random_contribution <- round(100*mean(abs(ts_train_decomposed $random/ts_train), na.rm = TRUE),1)
- trend_contribution <- round(100*mean(abs(ts_train_decomposed $trend/ts_train), na.rm = TRUE),1)
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