sonar: Sonar, Mines vs. Rocks.
Description
This data set is a collection of sonar signals, coded as 60 continuous attributes on 208 observations. The sonar signals are obtained from a variety of different aspect angles, spanning 90 degrees for mines and 180 degrees for rocks. The task is classification of sonar signals in two catagories, signals bounced off a "rock" or a "metal cylinder". Each pattern in the data is a set of 60 numbers (continous) in the range 0.0 to 1.0, where each number represents the energy within a particular frequency band, integrated over a certain period of time.
From total 208 observations, 111 obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions, is labled with "M" and 97 patterns obtained from rocks under similar conditions is labled with "R".Format
A data frame with 208 observations on 60 features/attributes in two classes. All the features are numerical and the class is nominal.References
Gorman, R. P., and Sejnowski, T. J. (1988). "Analysis of Hidden Units in a Layered Network Trained to Classify Sonar Targets" in Neural Networks, Vol. 1, pp. 75-89.Friedrich Leisch & Evgenia Dimitriadou (2010). mlbench: Machine Learning Benchmark Problems. R package
version 2.1-1.