根据提供的表格T：
<C>Task Event Detection  AR  EN  -, Model,Model BERTCRF+LADV,37.2,Model BERTCRF+FMBERT,36.5,Model BERTCRF+CCCAR,<max>40.7<bold>,<C>Task Event Detection  ZH  EN  -, Model,Model BERTCRF+LADV,41.2,Model BERTCRF+FMBERT,42.9,Model BERTCRF+CCCAR,<max>45.8<bold>,<C>Task Event Detection  EN  ZH, Model,Model BERTCRF,68.5,Model BERTCRF+LADV,70.0,Model BERTCRF+FMBERT,69.4,Model BERTCRF+CCCAR,<max>72.1<bold>,<C>Task Event Detection  EN  AR, Model,Model BERTCRF,30.9,Model BERTCRF+LADV,33.5,Model BERTCRF+FMBERT,33.4,Model BERTCRF+CCCAR,<max>42.7<bold>,<C>Task Event Detection  AR  ZH  -, Model,Model BERTCRF+LADV,55.6,Model BERTCRF+FMBERT,56.3,Model BERTCRF+CCCAR,<max>59.8<bold>,<C>Task Event Detection  ZH  AR  -, Model,Model BERTCRF+LADV,20.3,Model BERTCRF+FMBERT,20.0,Model BERTCRF+CCCAR,<max>20.7<bold>,Table 3: Performance  on test data for ED in six crosslingual settings. Each column corresponds to one setting where source languages are written above target languages. - indicates results that are not reported in the original work. Underlined numbers designate settings where the proposed model is significantly better than other models with p < 0.01.
回答问题Q：
How many does CCCAR  improves the baselines on average?