Before revision:  Our assumption is that the performance of each model allows to compare the efficiencies of the corresponding visualization techniques ; as current machine learning models are not capable enough to reflect human capabilities, including their imperfections, such results should be interpreted with caution.
After revision:  Our assumption is that the performance of each model allows to compare the efficiency of visualization techniques based on the performance of their corresponding model. As current machine learning models are not capable enough to reflect human capabilities, including their imperfections, such results should be interpreted with caution.