fatimag29/iris-clase

Iris数据集是一个经典的表格型数据集，适用于机器学习中的分类任务。它包含150个样本，每个样本具有4个特征和1个标签，标签分为三类。该数据集由Edgar Anderson创建，注释由专家生成，属于公共领域，是单语言（英语）数据集。

The Iris Dataset is a classic tabular dataset suitable for classification tasks in machine learning. It consists of 150 samples, each with 4 features and 1 label, with the label divided into three categories. The dataset was created by Edgar Anderson, annotations are expert-generated, it is in the public domain, and it is a monolingual (English) dataset.