KEEL: A software tool to assess evolutionary algorithms for Data Mining problems (regression, classification, clustering, pattern mining and so on)

KEEL-dataset - data set description

Titanic data set

Description
Files and additional references

Description

This section describes main characteristics of the titanic data set and its attributes:

General information

Titanic data set
Type	Classification	Origin	Real world
Features	3	(Real / Integer / Nominal)	(3 / 0 / 0)
Instances	2201	Classes	2
Missing values?			No

Attribute description

Attribute	Domain
Class	[-1.87,0.965]
Age	[-0.228,4.38]
Sex	[-1.92,0.521]
Survived	{-1.0,1.0}

Additional information

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.

The question of interest for this natural dataset is how survival relates to the other attributes. This version has transformed the values of the original source to real values. Details about the translation are shown in the header file.

Files and additional references

In this section you can download some files related to the titanic data set:

The complete data set already formatted in KEEL format can be downloaded from here .
A copy of the data set already partitioned by means of a 10-folds cross validation procedure can be downloaded from here .
A copy of the data set already partitioned by means of a 5-folds cross validation procedure can be downloaded from here .
The header file associated to this data set can be downloaded from here .
This is not a native data set from the KEEL project. It has been obtained from the DELVE repository. The original page where the data set can be found is: http://www.cs.toronto.edu/~delve/data/titanic/titanicDetail.html.