The Red Blood Cells dataset

The Red Blood Cells (RBC) data set is a multivariate data set inspired by prominent E. Evans article "Improved Measurements of the Erythrocyte Geometry" Microvascular Research, 4(4):335-347, 1972. The data set consists of fifty cells for each tonicity of three species of RBC. Attribute Information: The RBC data set has six attributes. You will be using the first five attributes to predict the species, whose class is defined in the fifth attribute of the data set. Input Variables : • Diameter in μm • Minimum thickness in μm • Maximum thickness in μm • Surface area in μm^2 • Volume in μm^3 Output Variables: Class (RBC Species) • RBC at 300 mOsm • RBC at 217 mOsm • RBC at 131 mOsm An example of the different species is given in the attached figure. The complete program for generating the RBC database in Matlab can be found in the RBCdataset.m file in the attached file. The bases generated by this program for the case N = 50 and N = 500 where N is the number of each species in the base are given here in the excel tables below.红细胞（Red Blood Cells, RBC）数据集是一个多变量数据集，其灵感源自E. Evans于1972年发表在《Microvascular Research》第4卷第4期第335-347页的经典论文《Improved Measurements of the Erythrocyte Geometry》。该数据集针对三种红细胞的每一种渗透压条件，各包含50个样本。 属性说明：本数据集共包含6个属性，将使用前5个属性完成红细胞物种分类预测，分类任务的标签由数据集的第5个属性定义。 输入变量： • 直径（单位：μm） • 最小厚度（单位：μm） • 最大厚度（单位：μm） • 表面积（单位：μm²） • 体积（单位：μm³） 输出变量：分类标签（红细胞物种） • 300 mOsm渗透压下的红细胞 • 217 mOsm渗透压下的红细胞 • 131 mOsm渗透压下的红细胞 不同红细胞物种的示例详见附件插图。 用于在Matlab环境中生成该红细胞数据集的完整代码，可在附件中的RBCdataset.m文件中获取。本程序针对N=50与N=500的场景生成了对应数据集（其中N代表每个物种的样本数量），相关数据集已在下方的Excel表格中给出。