Table 2 |
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|
Comparison of PBN and DBN methods using different sample networks |
||||||||||||
|
Miss errors Me |
False alarm errors Fe |
Correct edges Ce |
Accuracy (%) (R, P) |
Time(s) T |
||||||||
|
|
||||||||||||
|
min |
max |
avg |
min |
max |
avg |
min |
max |
avg |
recall |
precision |
avg |
|
|
|
||||||||||||
|
PBN(12,18) |
2 |
9 |
6.4 |
0 |
4 |
2.4 |
6 |
9 |
7.8 |
54.9 |
76.5 |
13.2 |
|
PBN(20,35) |
12 |
22 |
16.8 |
3 |
6 |
4.8 |
11 |
15 |
13.6 |
44.7 |
73.9 |
19.7 |
|
PBN(30,60) |
33 |
41 |
36.0 |
7 |
10 |
8.0 |
17 |
20 |
18.4 |
33.8 |
69.6 |
27.9 |
|
PBN(40,80) |
48 |
63 |
55.4 |
4 |
6 |
5.6 |
18 |
22 |
19.6 |
26.1 |
77.8 |
39.2 |
|
DBN(12,18) |
3 |
8 |
5.8 |
1 |
3 |
2.2 |
9 |
11 |
10.4 |
64.2 |
82.5 |
20.1 |
|
DBN(20,35) |
13 |
17 |
15.2 |
4 |
7 |
5.4 |
14 |
18 |
16.8 |
52.5 |
75.7 |
36.0 |
|
DBN(30,60) |
30 |
39 |
33.6 |
11 |
15 |
12.6 |
24 |
30 |
20.2 |
37.5 |
61.6 |
50.6 |
|
DBN(40,80) |
46 |
57 |
51.2 |
5 |
9 |
7.4 |
28 |
34 |
22.8 |
30.8 |
75.5 |
87.6 |
|
|
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|
Li et al. BMC Bioinformatics 2007 8(Suppl 7):S13 doi:10.1186/1471-2105-8-S7-S13 |
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