The arboretum procedure



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documentation -> From cyber-crime to insider trading, digital investigators are increasingly being asked to
documentation -> EnCase Forensic Transform Your Investigations
documentation -> File Sharing Documentation Prepared by Alan Halter Created: 1/7/2016 Modified: 1/7/2016
documentation -> Gaia Data Release 1 Documentation release 0

Selecting a Subtree

13

NUMERIC_



Obs

NODE

ROLE

RANK

STAT

VALUE

CHARACTER_VALUE

1

1

PRIMARY

1

VARIABLE

.

Stores

2

1

PRIMARY

1

LABEL

.

Number of Stores

3

1

PRIMARY

1

MISSING

1.0000

4

1

PRIMARY

1

WORTH

15.5622

5

1

PRIMARY

1

BRANCHES

2.0000

6

1

PRIMARY

1

INTERVAL

10.5000

107

3

PRIMARY

1

VARIABLE

.

Product

108

3

PRIMARY

1

MISSING

1.0000

109

3

PRIMARY

1

WORTH

13.3733

110

3

PRIMARY

1

BRANCHES

2.0000

111

3

PRIMARY

1

NOMINAL

1.0000

BOOT

112

3

PRIMARY

1

NOMINAL

1.0000

SANDAL

113

3

PRIMARY

1

NOMINAL

1.0000

SLIPPER

114

3

PRIMARY

1

NOMINAL

1.0000

SPORT SHOE

115

3

PRIMARY

1

NOMINAL

2.0000

MEN’S CASUAL

116

3

PRIMARY

1

NOMINAL

2.0000

MEN’S DRESS

117

3

PRIMARY

1

NOMINAL

2.0000

WOMEN’S CASUAL

118

3

PRIMARY

1

NOMINAL

2.0000

WOMEN’S DRESS

156

6

PRIMARY

1

VARIABLE

.

Product

157

6

PRIMARY

1

MISSING

1.0000

158

6

PRIMARY

1

WORTH

7.4924

159

6

PRIMARY

1

BRANCHES

2.0000

160

6

PRIMARY

1

NOMINAL

1.0000

BOOT

161

6

PRIMARY

1

NOMINAL

1.0000

SANDAL

162

6

PRIMARY

1

NOMINAL

1.0000

SPORT SHOE

163

6

PRIMARY

1

NOMINAL

2.0000

SLIPPER

171

7

PRIMARY

1

VARIABLE

.

Product

172

7

PRIMARY

1

MISSING

2.0000

173

7

PRIMARY

1

WORTH

1.2574

174

7

PRIMARY

1

BRANCHES

2.0000

175

7

PRIMARY

1

NOMINAL

1.0000

MEN’S CASUAL

176

7

PRIMARY

1

NOMINAL

2.0000

MEN’S DRESS

177

7

PRIMARY

1

NOMINAL

2.0000

WOMEN’S CASUAL

178

7

PRIMARY

1

NOMINAL

2.0000

WOMEN’S DRESS

Figure 5.

Primary Splitting Rules

Node 1 represents the entire training data. The rows in the listing for which col-

umn NODE is 1 describe the rule for partitioning node 1. The STAT column deter-

mines the type of information in the row. Rows with STAT equal to ‘VARIABLE’

and ‘LABEL’ identify the name and label of the input variable used by the splitting

rule. In this example, the splitting rule is based on Number of Stores, creates two

branches (STAT equals ‘BRANCHES’), and assigns data observations with Stores



< 10.5 (STAT equals ‘INTERVAL’) to the first branch.

The splitting rule for node 3 assigns to the first branch observations in which Product

equals ‘BOOT’, ‘SANDAL’, ‘SLIPPER’, or ‘SPORT SHOE’. In node 7, ‘MEN’S

CASUAL’ are assigned to the first branch, and ‘MEN’S DRESS’, ‘WOMEN’S

CASUAL’, and ‘WOMEN’S DRESS’ to the second branch.




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