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

Baseball Salaries data set

Description
Files and additional references

Description

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

General information

Baseball Salaries data set
Type	Regression	Origin	Real world
Features	16	(Real / Integer / Nominal)	(2 / 14 / 0)
Instances	337	Missing values?	No

Attribute description

Attribute	Domain	Attribute	Domain
Batting_average	[0.063,0.457]	Walks	[0,138]
On-base_percentage	[0.063,0.486]	Strike-Outs	[1,175]
Runs	[0,133]	Stolen_bases	[0,76]
Hits	[1,216]	Errors	[0,31]
Doubles	[0,49]	Free_agency_eligibility	[0,1]
Triples	[0,15]	Free_agent	[0,1]
HomeRuns	[0,44]	Arbitration_eligibility	[0,1]
Runs_batted_in	[0,133]	Arbitration	[0,1]
Salary	[109,6100]

Additional information

This dataset contains the 1992 salaries of the set of Major League Baseball players who played at least one game in both the 1991 and 1992 seasons, excluding pitchers. For each player, some performance measures are provided along with four categorical variables indicate how free each one was to move to other teams.

Files and additional references

In this section you can download some files related to the baseball 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 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 Bilkent University Function Approximation Repository. The original page where the data set can be found is: http://funapp.cs.bilkent.edu.tr/DataSets/.