The forecasting results of MAPE and RMSE by sequentially adding the grouped features of Table 2 into LSTM for the indicator of import of oil.

The grouped features with different correlation coefficients were added in descending order. The column of ‘Single feature’ denotes that only the targeted indicator (without features) was used to model for forecasting. The columns of ‘Grouped features with different correlation coefficient ranges’ denotes that the features with corresponding correlation coefficients were used to model for forecasting. For example, the column of ‘0.90–1.00’ denotes that the features with correlation coefficients of 0.90–1.00 were used to model.

将具备不同相关系数的分组特征按降序次序加入建模流程。“单特征”列表示仅采用目标指标（未引入额外特征）开展建模预测任务。“不同相关系数区间分组特征”列表示采用对应相关系数区间内的特征开展建模预测任务。例如，“0.90–1.00”列表示采用相关系数处于0.90至1.00区间内的特征进行建模以完成预测。