Skip to main content

Table 2 Features sets, naïve Bayesian classifier

From: A Bayesian network approach to feature selection in mass spectrometry data

Set Size

Features Selected

 

Trial 1

Trial 2

1

96

96

2

87

87

3

90

90

4

11

32

5

54

54

6

40

11

7

15

6

8

46

35

9

21

60

10

48

53

  1. Two typical trials of a naïve Bayesian classifier wrapper. After the first three features, selection is very unstable. Similar results occurred for all the traditional classifiers.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us