This is the sonar dataset. It containis information on 208 objects and 60 attributes. The objects are classified in two classes: "rock" and "mine".
A data frame with 208 observations on 61 variables. The first 60 represent the energy within a particular frequency band,integrated over a certain period of time. The last column contains the class labels. There are two classes 0 if the object is a rock, and 1 if the object is a mine (metal cylinder). The range value of each attribute varies from 0.0 to 1.0.
The UCI Machine Learning Database Repository at:
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