An Application of a Three-Stage XGBoost-Based Model to Sales Forecasting of a Cross-Border E-Commerce Enterprise

Table 8

AIC values of the resulting ARIMA by auto.airma ( ) function.

ARIMA (p, d, q)	AIC	ARIMA (p, d, q)	AIC
ARIMA (2, 1, 2) with drift	2854.317	ARIMA (0, 1, 2) with drift	2852.403
ARIMA (0, 1, 0) with drift	2983.036	ARIMA (1, 1, 2) with drift	2852.172
ARIMA (1, 1, 0) with drift	2927.344	ARIMA (0, 1, 1)	2850.212
ARIMA (0, 1, 1) with drift	2851.296	ARIMA (1, 1, 1)	2851.586
ARIMA (0, 1, 0)	2981.024	ARIMA (0, 1, 2)	2851.460
ARIMA (1, 1, 1) with drift	2852.543	ARIMA (1, 1, 2)	2851.120