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机器学习_Statlog (Heart) Data Set(Statlog (心脏) 数据集)

来源:网络收集 时间:2026-08-14
导读: This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix. Statlog (Heart) Data Set(Statlog (心脏) 数据集) 数据摘要: This dataset is

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

Statlog (Heart) Data Set(Statlog (心脏) 数据集)

数据摘要:

This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form

中文关键词:

Statlog,心脏,多变量,分类,UCI,

英文关键词:

Statlog,Heart,Multivariate,Classification,UCI,

数据格式:

TEXT

数据用途:

This data set is used for classification.

数据详细介绍:

Statlog (Heart) Data Set

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

Abstract: This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form

Data Set Information:

Cost Matrix

_______ abse pres

absence 0 1

presence 5 0

where the rows represent the true values and the columns the predicted. Attribute Information:

Attribute Information:

------------------------

-- 1. age

-- 2. sex

-- 3. chest pain type (4 values)

-- 4. resting blood pressure

-- 5. serum cholestoral in mg/dl

-- 6. fasting blood sugar > 120 mg/dl

-- 7. resting electrocardiographic results (values 0,1,2)

-- 8. maximum heart rate achieved

-- 9. exercise induced angina

-- 10. oldpeak = ST depression induced by exercise relative to rest -- 11. the slope of the peak exercise ST segment

-- 12. number of major vessels (0-3) colored by flourosopy

-- 13. thal: 3 = normal; 6 = fixed defect; 7 = reversable defect

Attributes types

-----------------

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

Real: 1,4,5,8,10,12

Ordered:11,

Binary: 2,6,9

Nominal:7,3,13

Variable to be predicted

------------------------

Absence (1) or presence (2) of heart disease

数据预览:

This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix.

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