Moreover, both the  -dependence and T -dependence reduces with increasing  until it essentially disappears at high  . This largely indicates that the relationship between  and  , T and  is a complex nonlinear rheological problem. This result is also reflected in the low accuracy of the LR model. We calculated the feature importance in XGBoost and displayed the results in Figure . The results show that  is the most important feature among all three features, accounting for 87.8% of the overall feature importance and the relative importance of these three features is  > T >  . This can be confirmed by Figure the least. The increase of  or decrease of T can diminish the effect of  in some degree. However, in terms of the significance analysis data, the effect of T and  on  was nearly trivial compared to that of  . It is worth noting that this analysis provides intuitive data to quantify the effects of  , T and  on .