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Iris

Iris

active ARFF Publicly available Visibility: public Uploaded 15-11-2022 by Perry
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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.

5 features

class (target)nominal3 unique values
0 missing
sepal_lengthnumeric35 unique values
0 missing
sepal_widthnumeric23 unique values
0 missing
petal_lengthnumeric43 unique values
0 missing
petal_widthnumeric22 unique values
0 missing

19 properties

150
Number of instances (rows) of the dataset.
5
Number of attributes (columns) of the dataset.
3
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
4
Number of numeric attributes.
1
Number of nominal attributes.
20
Percentage of nominal attributes.
0.99
Average class difference between consecutive instances.
80
Percentage of numeric attributes.
0
Percentage of missing values.
0
Percentage of instances having missing values.
0
Percentage of binary attributes.
0
Number of binary attributes.
50
Number of instances belonging to the least frequent class.
33.33
Percentage of instances belonging to the least frequent class.
50
Number of instances belonging to the most frequent class.
33.33
Percentage of instances belonging to the most frequent class.
0.03
Number of attributes divided by the number of instances.

2 tasks

4 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
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