iris.v {FFTrees} | R Documentation |
Iris data
Description
A famous dataset from R.A. Fisher (1936) simplified to predict only the virginica class (i.e., as a binary classification problem).
Usage
iris.v
Format
A data frame containing 150 rows and 4 columns.
- sep.len
sepal length in cm
- sep.wid
sepal width in cm
- pet.len
petal length in cm
- pet.wid
petal width in cm
- virginica
Criterion: Does an iris belong to the class "virginica"?
Values:
TRUE
vs.FALSE
(33.33% vs.66.67%).
Details
To improve usability, we made the following changes:
The criterion was binarized from a factor variable with three levels (
Iris-setosa
,Iris-versicolor
,Iris-virginica
), into a logical variable (i.e.,TRUE
for all instances ofIris-virginica
andFALSE
for the two other levels).
Other than that, the data remains consistent with the original dataset.
Source
https://archive.ics.uci.edu/ml/datasets/Iris
References
Fisher, R.A. (1936): The use of multiple measurements in taxonomic problems. Annual Eugenics, 7, Part II, pp. 179–188.
See Also
Other datasets:
blood
,
breastcancer
,
car
,
contraceptive
,
creditapproval
,
fertility
,
forestfires
,
heart.cost
,
heart.test
,
heart.train
,
heartdisease
,
mushrooms
,
sonar
,
titanic
,
voting
,
wine