Before revision:  Random models, Logistic Regressions, LSTMs, LSTMs equipped with an Attention mask, CNN-LSTMs and MLPs are  compared on the same tasks, feature space , and dataset and  clustered according to pairwise similarity and performance metrics.
After revision:  Random models, Logistic Regressions, LSTMs, LSTMs equipped with an Attention mask, CNN-LSTMs and MLPs are compared on the same tasks, feature space , and dataset and dataset, and then clustered according to pairwise similarity and performance metrics.