乳腺癌分类器和数据样本验证(Python).doc

乳腺癌分类器及数据样本验证 By Toby QQ：231469242 欢迎爱好者交流，并改进代码 数据下载地址 uci machine learing/breast cancer 词汇： Malignancy 恶性 biopsy 活组织检查 benign 良性的 diagnosis 诊断 periodic examination定期检查 Clump Thickness 肿块厚度 Uniformity of Cell Size 细胞大小的均匀性 Uniformity of Cell Shape 细胞形状的均匀性 Marginal Adhesion 边缘粘 Single Epithelial Cell Size 单上皮细胞的大小 Bare Nuclei 裸核 Bland Chromatin 乏味染色体 Normal Nucleoli 正常核 Mitoses 有丝分裂 背景知识 isconsin Breast Cancer Database (WBCD) January 8, 1991 Revised Nomeber 3, 1994 This is a description of the Wisconsin Breast Cancer Database, collected by Dr. William H. Wolberg, University of Wisconsin Hospitals, Madison. The actual database is contained in another file (datacum). Samples were collected periodically as Dr. Wolberg reported his clinical cases. The database therefore reflects this chronological grouping of the data. The samples consist of visually assessed nuclear features of fine needle aspirates (FNAs) taken from patients breasts. Each sample has been assigned a 9-dimensional vector (attributes 3 to 9 below) by Dr. Wolberg. Each component is in the interval 1 to 10, with value 1 corresponding to a normal state and 10 to a most abnormal state. Attribute 1 is sample number, while attribute 2 designates whether the sample is benign or malignant. Malignancy 恶性is determined by taking a sample tissue from the patients breast and performing a biopsy on it. A benign 良性的diagnosis 诊断is confirmed either by biopsy 活组织检查 or by periodic examination定期检查, depending on the patients choice. All groups are in the same file. We have separated the groups 感谢 Wisconsin医学院的william H.Wolberg博士提供乳腺癌数据样本。所欲数据来自真实临床案例，每个案例有9个属性 这就是判断乳腺癌的9个属性（翻译非全部准确） Field Attribute 1 Sample code number （病人ID） 2 Class: 2 for benign, 4 formalignant（恶性或良性分类） 3 Clump Thickness 肿块厚度 4 Uniformity of Cell Size 细胞大小的均匀性 5 Uniformity of Cell Shape 细胞形状的均匀性 6