ViictorCM/iris

Iris数据集是一个在机器学习和统计领域中广泛使用的经典数据集，由Ronald A. Fisher于1936年首次引入，作为分类算法的基准。该数据集包含来自三个不同物种的150朵鸢尾花的测量数据：Iris setosa、Iris versicolor和Iris virginica。数据集具有4个连续特征，没有缺失值，分为3个类别，每个类别有50个实例。数据集格式为表格，每行代表一朵花，每列代表一个特定属性。该数据集适用于分类任务、数据可视化和教育目的。

The Iris dataset is a classic dataset widely used in the fields of machine learning and statistics. Originally introduced by Ronald A. Fisher in 1936, it serves as a benchmark for classification algorithms. The dataset contains measurements of iris flowers from three different species: Iris setosa, Iris versicolor, and Iris virginica. It has 4 continuous features, no missing values, and is divided into 3 classes with 50 instances each. The dataset is structured in a tabular format, with each row representing an individual flower and each column a specific attribute. It is suitable for classification tasks, data visualization, and educational purposes.