**************__online_delivary_**************
**************__bert_**************
------------union-----------------
Accuracy in F1: 0.535969868173258, 	 Precision: 0.3827326519634212, 	 Recall: 0.8938442211055276
------------intersection-----------------
Accuracy in F1: 0.5565543071161049, 	 Precision: 0.6892393320964749, 	 Recall: 0.4667085427135678
**************__roberta_**************
------------union-----------------
Accuracy in F1: 0.5611996251171509, 	 Precision: 0.3999465669249265, 	 Recall: 0.9403266331658291
------------intersection-----------------
Accuracy in F1: 0.6572979878633024, 	 Precision: 0.6694860117111255, 	 Recall: 0.6455457967377666
**************__albert_**************
------------union-----------------
Accuracy in F1: 0.5600609175709119, 	 Precision: 0.4018027861240098, 	 Recall: 0.9239949748743719
------------intersection-----------------
Accuracy in F1: 0.6539196940726576, 	 Precision: 0.6636481241914618, 	 Recall: 0.6444723618090452
**************__student_perf_**************
**************__bert_**************
------------union-----------------
Accuracy in F1: 0.4053507543941515, 	 Precision: 0.2677764077270859, 	 Recall: 0.8336532309660909
------------intersection-----------------
Accuracy in F1: 0.41110277569392345, 	 Precision: 0.4968268359020852, 	 Recall: 0.3506078055022393
**************__roberta_**************
------------union-----------------
Accuracy in F1: 0.44023595156783607, 	 Precision: 0.2906333265013322, 	 Recall: 0.9072296865003199
------------intersection-----------------
Accuracy in F1: 0.4438085327783559, 	 Precision: 0.37395879000438403, 	 Recall: 0.5457453614843251
**************__albert_**************
------------union-----------------
Accuracy in F1: 0.42692485016136467, 	 Precision: 0.2809466019417476, 	 Recall: 0.8886756238003839
------------intersection-----------------
Accuracy in F1: 0.48575129533678757, 	 Precision: 0.4918032786885246, 	 Recall: 0.4798464491362764
**************__flight_delay_**************
**************__bert_**************
------------union-----------------
Accuracy in F1: 0.5066586862187641, 	 Precision: 0.3560837101693133, 	 Recall: 0.8778843660876329
------------intersection-----------------
Accuracy in F1: 0.5187886475344855, 	 Precision: 0.6677551020408163, 	 Recall: 0.42416385792066374
**************__roberta_**************
------------union-----------------
Accuracy in F1: 0.4413910333593031, 	 Precision: 0.30364451374001167, 	 Recall: 0.8078817733990148
------------intersection-----------------
Accuracy in F1: 0.5043073977847669, 	 Precision: 0.5335648148148148, 	 Recall: 0.4780917811770806
**************__albert_**************
------------union-----------------
Accuracy in F1: 0.5263157894736842, 	 Precision: 0.36376251362870454, 	 Recall: 0.9515167228415867
------------intersection-----------------
Accuracy in F1: 0.6109110310790983, 	 Precision: 0.6291208791208791, 	 Recall: 0.5937256935442053
**************__student_perf_**************
**************__xlnet_**************
------------union-----------------
Accuracy in F1: 0.5320346320346321, 	 Precision: 0.4020281321557082, 	 Recall: 0.7863083813179782
------------intersection-----------------**************__student_perf_**************
**************__xlnet_**************
------------union-----------------
Accuracy in F1: 0.5085317832364523, 	 Precision: 0.3596816976127321, 	 Recall: 0.8675623800383877
------------intersection-----------------
Accuracy in F1: 0.2731356693620845, 	 Precision: 0.45852187028657615, 	 Recall: 0.1944977607165707
**************__bert_**************
------------union-----------------
Accuracy in F1: 0.5110314916085236, 	 Precision: 0.3622994652406417, 	 Recall: 0.8669225847728727
------------intersection-----------------
Accuracy in F1: 0.513504718516108, 	 Precision: 0.5225165562913907, 	 Recall: 0.5047984644913628
**************__roberta_**************
------------union-----------------
Accuracy in F1: 0.512163416898793, 	 Precision: 0.3608058608058608, 	 Recall: 0.8822776711452335
------------intersection-----------------
Accuracy in F1: 0.5306990881458966, 	 Precision: 0.5055008685581934, 	 Recall: 0.5585412667946257
**************__albert_**************
------------union-----------------
Accuracy in F1: 0.51203007518797, 	 Precision: 0.36252328985893, 	 Recall: 0.8714011516314779
------------intersection-----------------
Accuracy in F1: 0.5522342064714947, 	 Precision: 0.5326991676575505, 	 Recall: 0.5732565579014716
