Iris Plants

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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.

Number of Instances: 150 (50 in each of three
classes)

Number of Attributes: 4 numeric, predictive
attributes

Attribute Information:

• 1. sepal length in cm
• 2. sepal width in cm
• 3. petal length in cm
• 4. petal width in cm

class:

• Iris Setosa
• Iris Versicolour
• Iris Virginica

Summary Statistics:
------------Min Max Mean SD Class Correlation
sepal length: 4.3 7.9 5.84 0.83 0.7826
sepal width: 2.0 4.4 3.05 0.43 -0.4194
petal length: 1.0 6.9 3.76 1.76 0.9490 (high!)
petal width: 0.1 2.5 1.20 0.76 0.9565 (high!)

Class Distribution: 33.3% for each of 3 classes.

Vista visualization: 0 unseparated items(0%)

Download the dataset