机器学习_Titanic dataset(泰坦尼克号数据集)

The titanic dataset gives the values of four categorical attributes for each of the 2201 people on board the Titanic when it struck an iceberg and sank. The attributes are social class (first class, second class, third class, crewmember), age (adult or child), sex, and whether or not the person survived.

Titanic dataset(泰坦尼克号数据集)

数据摘要：

The titanic dataset gives the values of four categorical attributes for each of the 2201 people on board the Titanic when it struck an iceberg and sank. The attributes are social class (first class, second class, third class, crewmember), age (adult or child), sex, and whether or not the person survived.

中文关键词：

机器学习,泰坦尼克号,2201人,社会地位,DELVE,

英文关键词：

Machine learning,Titanic,2201 people,Social class,DELVE,

数据格式：

TEXT

数据用途：

The data can be used for Machine Learning, Classification and Evaluating Learning.

The titanic dataset gives the values of four categorical attributes for each of the 2201 people on board the Titanic when it struck an iceberg and sank. The attributes are social class (first class, second class, third class, crewmember), age (adult or child), sex, and whether or not the person survived.

数据详细介绍：

Titanic dataset

Abstract

The titanic dataset gives the values of four categorical attributes for each of the 2201 people on board the Titanic when it struck an iceberg and sank. The attributes are social class (first class, second class, third class, crewmember), age (adult or child), sex, and whether or not the person survived.

Data Description

Origin: natural

Usage: assessment

Number of attributes: 4

Number of cases: 2,201

Number of prototasks: 1

Number of methods run on this dataset: 3

Contributed by: Radford Neal

Reference

数据预览：

The titanic dataset gives the values of four categorical attributes for each of the 2201 people on board the Titanic when it struck an iceberg and sank. The attributes are social class (first class, second class, third class, crewmember), age (adult or child), sex, and whether or not the person survived.

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