Iris
From WikiSet
The Iris dataset 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 two; the latter are not linearly separable from each other.
Contents |
Summary
- Data characteristics: Multivariate
- Attribute characteristics: Real
- Number of attributes: 4
- Number of instances: 150
- Number of classes: 3
- Class 1: 50 objects
- Class 2: 50 objects
- Class 3: 50 objects
- Missing Values: No
- Creator: R. A. Fisher
- Dataset location: UCI Machine Learning Repository
Attribute informations
The following numbered list reports information about attributes. The first line refers to the first attribute, and so on.
- Sepal length in centimeters
- Sepal width in centimeters
- Petal length in centimeters
- Petal width in centimeters
- Class attribute
- 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!) |
Associated Tasks
The Iris dataset is widely used both in classification tasks and in clustering tasks.
