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KEEL-dataset - data set description
dataset/images/iris.jpg



This section describes main characteristics of the iris data set and its attributes:

General information

Iris plants data set
TypeClassificationOriginReal world
Features 4(Real / Integer / Nominal)(4 / 0 / 0)
Instances150 Classes3
Missing values?No

Attribute description

AttributeDomain
SepalLength[4.3, 7.9]
SepalWidth[2.0, 4.4]
PetalLength[1.0, 6.9]
PetalWidth[0.1, 2.5]
Class{Iris-setosa, Iris-versicolor, Iris-virginica}

Additional information

This is perhaps the best known database to be found in the pattern recognition literature. 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.




In this section you can download some files related to the iris data set:

  • The complete data set already formatted in KEEL format can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from herezip.gif.
  • A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from herezip.gif.
  • The header file associated to this data set can be downloaded from heretxt.png.
  • This is not a native data set from the KEEL project. It has been obtained from the UCI Machine Learning Repository. The original page where the data set can be found is: http://archive.ics.uci.edu/ml/datasets/Iris.


 
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