Database Reference
In-Depth Information
Career_PP
: This is the same as the Personal Points attribute, except it is cumulative for
the athlete's entire career.
Career_TP
: This is the same as the Total Points attribute, except it is cumulative for the
athlete's entire career.
Career_Assists
: This is the same as the Career Assists attribute, except it is cumulative
for the athlete's entire career.
Career_Con
: This is the same as the Career Concessions attribute, except it is
cumulative for the athlete's entire career.
Team_Value
: This is a categorical attribute summarizing the athlete's value to his team.
It is present only in the training data, as it will serve as our label to predict a
Team_Value for each observation in the scoring data set. There are four categories:
Role Player: This is an athlete who is good enough to play at the professional
level, and may be really good in one area, but is not excellent overall.
Contributor: This is an athlete who contributes across several categories of
defense and offense and can be counted on to regularly help the team win.
Franchise Player: This is an athlete whose skills are so broad, strong and
consistent that the team will want to hang on to them for a long time. These
players are of such a talent level that they can form the foundation of a really
good, competitive team.
Superstar: This is that rare individual who gifts are so superior that they make a
difference in every game. Most teams in the league will have one such player,
but teams with two or three always contend for the league title.
Juan's data are ready and we understand the attributes available to us. We can now proceed to…
DATA PREPARATION
Access the topic's companion web site and download two files: Chapter11DataSet_Training.csv
and Chapter11DataSet_Scoring.csv. These files contain the 263 current professional athletes and
the 59 prospects respectively. Complete the following steps:
1)
Import both Chapter 11 data sets into your RapidMiner repository. Be sure to designate
the first row as attribute names. You can accept the defaults for data types. Save them
