synth.tr: Synthetic Classification Problem
In MASS: Support Functions and Datasets for Venables and Ripley's MASS
synth.tr R Documentation
Synthetic Classification Problem
Description
The synth.tr data frame has 250 rows and 3 columns.
The synth.te data frame has 100 rows and 3 columns.
It is intended that synth.tr be used from training and
synth.te for testing.
Usage
synth.tr
synth.te
Format
These data frames contains the following columns:
xs-
x-coordinate
ys-
y-coordinate
yc-
class, coded as 0 or 1.
Source
Ripley, B.D. (1994)
Neural networks and related methods for
classification (with discussion).
Journal of the Royal Statistical Society series B
56, 409–456.
Ripley, B.D. (1996)
Pattern Recognition and Neural Networks.
Cambridge: Cambridge University Press.
MASS documentation built on June 22, 2024, 10:42 a.m.
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| synth.tr | R Documentation |
Synthetic Classification Problem
Description
The synth.tr data frame has 250 rows and 3 columns.
The synth.te data frame has 100 rows and 3 columns.
It is intended that synth.tr be used from training and
synth.te for testing.
Usage
synth.tr
synth.te
Format
These data frames contains the following columns:
xs-
x-coordinate
ys-
y-coordinate
yc-
class, coded as 0 or 1.
Source
Ripley, B.D. (1994) Neural networks and related methods for classification (with discussion). Journal of the Royal Statistical Society series B 56, 409–456.
Ripley, B.D. (1996) Pattern Recognition and Neural Networks. Cambridge: Cambridge University Press.
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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