Which model achieved higher test accuracy: the neural network without dropout or with dropout regularization?

Which model achieved higher test accuracy: the neural network without dropout or with dropout regularization?: a task in SmolDataEnvs-harbor-test (Harbor dataset). Files (in /home/user/input, no subfolders): - sonar.all-data.csv