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Table 5 Analysis by class of a data set in Scenario 1

From: Intervention in prediction measure: a new approach to assessing variable importance for random forests

Measures

PVIM

IPM

 

0

1

G

0

1

G

X 1

4

1

4

3

3

3

X 2

2

3

2

1

1

1

X 3

3

2

3

5

4

5

X 4

1

4

1

2

2

2

X 5

5

5

5

4

5

4

  1. The first column is the name of the variables. The two following columns correspond to the PVIM ranking (CART-RF, mtry = 2) for each class, whereas the third column is the same but calculated globally (labeled as G). The last three columns contain the ranking of the IPM values (CIT-RF, mtry = 5) first by group and the last column computed globally (labeled as G)