威斯康星州乳腺癌（诊断）数据集

该数据集来自南斯拉夫卢布尔雅那大学医疗中心肿瘤研究所，由M. Zwitter 与M. Soklic 二者提供，感谢。该数据集可在UCI数据库中找到。该数据库是加州大学欧文分校提出的用于机器学习的数据库，是一个常用的标准测试数据集。 该数据集有2大类，9个属性，共286个实例。 class：类别，分别是乳腺癌复发（recurrence-events）和未复发（no-recurrence-events） age：年龄，有 20-29, 30-39, 40-49, 50-59, 60-69, 70-79，六个区间 menopause：绝经期，分为prememo（未绝经），ge40（40岁之后绝经），lt40（40岁之前绝经） tumor-size：肿瘤大小 inv-nodes：淋巴结个数 node-caps：结节冒有无 deg-malig：肿瘤恶性程度，分为1、2、3三种，3恶性程度最高 breast： 分为left和right breast-quad：所在象限 irradiat：是否有放射性治疗经历

We gratefully acknowledge M. Zwitter and M. Soklic from the Institute of Oncology, University Medical Centre Ljubljana, Yugoslavia for providing this dataset. This dataset is accessible through the UCI Machine Learning Repository, a widely used standard benchmark dataset for machine learning research proposed by the University of California, Irvine.

This dataset includes 2 classes, 9 attributes, with a total of 286 instances.
Class: Classification target, with two categories: recurrence-events and no-recurrence-events
Age: Age range, covering six intervals: 20-29, 30-39, 40-49, 50-59, 60-69, and 70-79
Menopause: Menopausal status, categorized into three groups: premeno (pre-menopausal), ge40 (menopause at or after age 40), and lt40 (menopause before age 40)
Tumor-size: Tumor size
Inv-nodes: Number of involved lymph nodes
Node-caps: Presence or absence of nodal capsular involvement
Deg-malig: Tumor malignancy grade, divided into three levels 1, 2, and 3, with grade 3 being the highest
Breast: Affected breast side, including left and right
Breast-quad: Quadrant of the breast where the tumor is located
Irradiat: History of radiotherapy

搜集汇总

背景与挑战

背景概述

威斯康星州乳腺癌（诊断）数据集是一个用于乳腺癌复发预测的标准数据集，包含286个实例和9个临床特征属性，适用于机器学习研究。