The Iris dataset is a classic dataset used in machine learning and data mining. It contains 150 instances of iris plants, each described by 4 features: sepal length, sepal width, petal length, and petal width. The dataset is divided into three classes, each representing a different species of iris plant.
Features
- Sepal Length (cm): The length of the sepals.
- Sepal Width (cm): The width of the sepals.
- Petal Length (cm): The length of the petals.
- Petal Width (cm): The width of the petals.
Species
The dataset contains three species of iris plants:
- Setosa: Iris setosa
- Versicolour: Iris versicolor
- Virginica: Iris virginica
Usage
The Iris dataset is widely used for teaching and research purposes. It is often used as a starting point for machine learning algorithms to demonstrate the concept of classification and clustering.
For more information about the Iris dataset, you can visit the UCI Machine Learning Repository.
Image Gallery
Here are some images of the different species of iris plants: