Forecasting error (via RMSE) of various models and features using the Yelp dataset.

The models used include VARMA and SVR, whereas the features used include the raw social dynamics (Baseline), level-1 activation vectors (H1), level-2 activation vectors (H2), and both levels of activation vectors (H1 + H2) of a 2-level RCBM. The forecasting accuracy using a 1-level RCBM with a doubled number of filters is denoted as (H12).本研究所采用的模型包括向量自回归移动平均模型（VARMA）与支持向量回归（SVR），所使用的特征则涵盖原始社会动力学（Baseline，基线特征）、两层RCBM的第一层激活向量（H1）、第二层激活向量（H2），以及两层激活向量的组合（H1 + H2）；使用滤波器数量翻倍的单层RCBM得到的预测准确率记为(H12)。