iris

The Iris dataset is a classic dataset used in machine learning and statistics, consisting of 150 samples from three species of Iris flowers (Iris setosa, Iris virginica, and Iris versicolor), with four features measured for each sample: the length and the width of the sepals and petals. It is widely used for demonstrating various data analysis, classification, and machine learning techniques.

鸢尾花数据集是机器学习和统计学领域中的经典数据集，包含来自三种鸢尾花品种（鸢尾花赛塔（Iris setosa）、鸢尾花弗吉尼亚（Iris virginica）和鸢尾花杂色（Iris versicolor））的150个样本，每个样本测量了四个特征：花瓣和萼片的长度与宽度。该数据集被广泛用于展示各种数据分析、分类和机器学习技术的应用。