Iris
Abstract
Famous database; from Fisher, 1936. One of the earliest known datasets used for evaluating classification methods.
Purpose
Additional Information This is one of the earliest datasets used in the literature on classification methods and widely used in statistics and machine learning. 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. Predicted attribute: class of iris plant. This is an exceedingly simple domain. This data differs from the data presented in Fishers article (identified by Steve Chadwick, spchadwick@espeedaz.net ). The 35th sample should be: 4.9,3.1,1.5,0.2,"Iris-setosa" where the error is in the fourth feature. The 38th sample: 4.9,3.6,1.4,0.1,"Iris-setosa" where the errors are in the second and third features.
| Name | Role | Type | Description | Missing |
|---|---|---|---|---|
| Sepal Length | Feature | Continuous | - | No |
| Sepal Width | Feature | Continuous | - | No |
| Petal Length | Feature | Continuous | - | No |
| Petal Width | Feature | Continuous | - | No |
| Class | Target | Categorical | class of iris plant: Iris Setosa, Iris Versicolour, or Iris Virginica | No |
Papers Citing this Dataset
55 papers found
An improved adaptive memetic differential evolution optimization algorithms for data clustering problems
By By Hossam Mustafa, Masri Ayob, Mohd Nazri, Graham Kendall.
Proportionally Fair Clustering
By Xingyu Chen, Brandon Fain, Charles Lyu, Kamesh Munagala.
An improved adaptive memetic differential evolution optimization algorithms for data clustering problems
By Hossam Mustafa, Masri Ayob, Mohd Nazri, Graham Kendall.
Bounded Fuzzy Possibilistic Method
By Hossein Yazdani.
Neural Network Attributions: A Causal Perspective
By Aditya Chattopadhyay, Piyushi Manupriya, Anirban Sarkar, Vineeth Balasubramanian.