sonar: Dataset of sonar measurements of rocks and mines
In JOUSBoost: Implements Under/Oversampling for Probability Estimation
Description
Usage
Format
Source
References
Description
A dataset containing sonar measurements used to discriminate rocks from mines.
Usage
1
Format
A data frame with 208 observations on 61 variables. The variables
V1-V60 represent the energy within a certain frequency band, and
are to be used as predictors. The variable y is a class label, 1
for 'rock' and -1 for 'mine'.
Source
http://archive.ics.uci.edu/ml/
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.
JOUSBoost documentation built on May 2, 2019, 6:03 a.m.
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Description Usage Format Source References
Description
A dataset containing sonar measurements used to discriminate rocks from mines.
Usage
1 |
Format
A data frame with 208 observations on 61 variables. The variables V1-V60 represent the energy within a certain frequency band, and are to be used as predictors. The variable y is a class label, 1 for 'rock' and -1 for 'mine'.
Source
http://archive.ics.uci.edu/ml/
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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