# R Dataset / Package MASS / synth.te

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## Visual Summaries

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<iframe src="https://embed.picostat.com/r-dataset-package-mass-synthte.html" frameBorder="0" width="100%" height="307px" />
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Dataset Help

On this Picostat.com statistics page, you will find information about the synth.te data set which pertains to Synthetic Classification Problem. The synth.te data set is found in the MASS R package. You can load the synth.te data set in R by issuing the following command at the console data("synth.te"). This will load the data into a variable called synth.te. If R says the synth.te data set is not found, you can try installing the package by issuing this command install.packages("MASS") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the synth.te R data set. The size of this file is about 26,315 bytes.

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.

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Dataset imported from https://www.r-project.org.

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