iris.data: Iris data.
In phil8192/lazy-iris: Lazy Learning on the Iris Dataset
Description
Usage
Format
Details
Author(s)
Source
References
Description
The Iris dataset.
Usage
1
Format
A data.frame.
Details
Descripton from UCI Machine learning repository: This is perhaps the best
known database to be found in the pattern recognition literature. Fisher's
paper is a classic in the field and is referenced frequently to this day.
(See Duda & Hart, for example.) The data set contains 3 classes of 50
instances each, where each class refers to a type of iris plant. One class
is linearly separable from the other 2; the latter are NOT linearly
separable from each other.
Author(s)
phil
Source
https://archive.ics.uci.edu/ml/datasets/Iris
References
Lichman, M. (2013). UCI Machine Learning Repository
https://archive.ics.uci.edu/ml. Irvine, CA: University of
California, School of Information and Computer Science.
phil8192/lazy-iris documentation built on May 25, 2019, 2:56 a.m.
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.
Description Usage Format Details Author(s) Source References
Description
The Iris dataset.
Usage
1 |
Format
A data.frame.
Details
Descripton from UCI Machine learning repository: This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.
Author(s)
phil
Source
https://archive.ics.uci.edu/ml/datasets/Iris
References
Lichman, M. (2013). UCI Machine Learning Repository https://archive.ics.uci.edu/ml. Irvine, CA: University of California, School of Information and Computer Science.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.