Iris Classification

The Iris Classification dataset is a well-known dataset in machine learning, commonly used for classification tasks. It contains measurements of various iris flowers, including sepal length, sepal width, petal length, and petal width, as well as the corresponding species label.

Columns Description:

1. Sepal Length (cm): Length of the sepals of the iris flower.

2. Sepal Width (cm): Width of the sepals of the iris flower.

3. Petal Length (cm): Length of the petals of the iris flower.

4. Petal Width (cm): Width of the petals of the iris flower.

5. Species: The species of the iris flower, which is the target variable to be predicted.

This dataset is commonly used for practicing classification algorithms and exploring data analysis techniques.