Skip to main content

Table 2 Hypothetical placement of 60 Cases and Controls in training and testing sets

From: Examining the significance of fingerprint-based classifiers

 

Node 8

Node 9

Node 10

Node 11

Node 12

Node 13

Node 14

Node 15

Overall

0:6

15:0

0:17

2:0

35:9

2:8

2:20

4:0

Training

0:5

10:0

0:11

2:0

23:6

1:5

1:13

3:0

Testing

0:1

5:0

0:6

0:0

12:3

1:3

1:7

1:0

  1. Overall placement of 60 Cases and 60 Controls (Cases:Controls) in the eight terminal nodes of the best decision tree shown in Table 1 and a hypothetical distribution between a training set and a testing set. Features 198, 140, 99, 68, 41, 95, and 251 are used in decision nodes 1 through 7 (Figure 1), respectively.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us