SONAR

208 objects with 60 features in 2 classes

        X = SONAR

This is the data set used by Gorman and Sejnowski in their study of the

classification	of sonar signals using a neural network. The task is to
train	a network to discriminate between sonar signals bounced off a
metal	cylinder and those bounced off a roughly cylindrical rock.