Learn more OK, Got it.Aziz Bohra · 4y ago· 230 views arrow_drop_up1 Copy & Edit11 more_vert Heart Disease UCINotebookInputOutputLogsComments (0)Output Data Download notebook output navigate_nextminimize content_copyhelp
Heart Disease UCI auto_awesome_motion View Active Events Rishab Dhar·5y ago· 139 views arrow_drop_up3 Copy & Edit9 more_vert
Heart Disease UCI 24266a menu auto_awesome_motion View Active Events faranak khani·2y ago· 271 views arrow_drop_up2 Copy & Edit14 more_vert Copied from Harshal Gadhe (+53,-2) comment 0 Comments
23. Connect-4 Database (John Tromp) 24-25. Credit Screening Database 1. Japanese Credit Screening Data and domain theory (Chiharu Sano) 2. Credit Card Application Approval Database (Ross Quinlan) 26. Ein-Dor and Feldmesser's cpu-performance database (David Aha) 27. Diabetes Data (Serdar ...
UCI 心脏病数据集heart-disease_303行 uci heart disease,cleveland database克利夫兰数据库 心脏病-其它其他资源 请止**禁区上传123.21 KB文件格式rarUCI The file cleveland.data has been unfortunately messed up when we lost node cip2 and loaded the file on node ics. The file processed.cleveland.data...
Heart Disease UCI 心脏病UCI 该数据库包含76个属性,但是所有已发布的实验都引用了其中14个属性的子集。特别是,克利夫兰数据库是 迄今为止ML研究人员使用的唯一数据库。“目标”字段是指患者中心脏病的存在。 1. Overview This database contains 76 attributes, but all published experiments refer to using a subs...
heart_disease_prediction 心脏病UCI数据集 该实验只是根据心脏病的缺席情况简单地预测心脏病的存在。 1.关于数据集: 该数据集在Kaggle( )上提供。 并且可以从UCI机器学习存储库( )中获得。 数据包含总共14个属性,如下所示。 属性说明 年龄:岁 性别:性别(1 =男性; 0 =女性)...
其中,processed.cleveland.csv是从UCI Heart Disease Data Set 官网下载的数据集 数据属性说明: 1)age-年龄 2)sex-性别 (1 =男性; 0 =女性) 3)cp-胸痛类型(4个值,值1:典型的心绞痛,值2:非典型心绞痛,值3:非心绞痛,值4:无症状) 4)trestbps-患者入院时的静息血压(单位:mm Hg) ...
心脏病数据集(Heart Disease) 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach Dataset Information Additional Information This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only ...
Heart disease is one of the biggest causes of morbidity and mortality among the population of the world. Prediction of cardiovascular disease is regarded as one of the most important subjects in the section of clinical data analysis. The amount of data in the healthcare industry is huge. Data...