Moreover, even the min values of RF2 consistently outperform the NoDA model (where a classifier is trained on the source domain and applied to the target domain without domain adaptation; bottom line of Table 1) and the min values of BasicTRL outperform NoDA in 5 of 6 setups (average difference of 3.9% for RF2 and for 3.5% for BasicTRL).
the min value of NoTRL is outperformed by NoDA in 5 of 6 cases (with an averaged gap of 2.8%).