Table 1.
True Phylo |
QuartetS |
QuartetA |
QuartetM |
Quartet-Net |
Neighbor-Net |
Neighbor-Joining |
|||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Split | Wei | Split | Wei | BV | Split | Wei | BV | Split | Wei | BV | Split | Wei | BV | Split | Wei | BV | Split | Wei | BV |
ab |
1 |
ab |
1 |
100 |
ab |
1 |
100 |
ab |
1 |
100 |
ab |
1 |
100 |
ab |
1 |
100 |
ab |
1 |
100 |
abcd |
3 |
abcd |
3.03 |
100 |
abcd |
3 |
100 |
abcd |
2.98 |
100 |
abcd |
3.03 |
100 |
abcd |
2.98 |
100 |
abcd |
2.98 |
100 |
abef |
1 |
abef |
1.03 |
100 |
abef |
1.03 |
100 |
abef |
1.03 |
100 |
abef |
1.03 |
100 |
abef |
1.02 |
100 |
abef |
1.02 |
100 |
a |
1 |
a |
1.03 |
100 |
a |
0.99 |
100 |
a |
0.98 |
100 |
a |
1.03 |
100 |
a |
1.04 |
100 |
a |
1.04 |
100 |
b |
1 |
b |
1.04 |
100 |
b |
1 |
100 |
b |
0.99 |
100 |
b |
1.04 |
100 |
b |
1.05 |
100 |
b |
1.05 |
100 |
c |
1 |
c |
1.03 |
100 |
c |
0.99 |
100 |
c |
0.98 |
100 |
c |
1.03 |
100 |
c |
1.04 |
100 |
c |
1.04 |
100 |
d |
1 |
d |
1.03 |
100 |
d |
0.99 |
100 |
d |
0.98 |
100 |
d |
1.03 |
100 |
d |
1.04 |
100 |
d |
1.04 |
100 |
e |
1 |
e |
1.04 |
100 |
e |
1.01 |
100 |
e |
1.00 |
100 |
e |
1.04 |
100 |
e |
1.04 |
100 |
e |
1.05 |
100 |
f |
1 |
f |
1.06 |
100 |
f |
1.03 |
100 |
f |
1.02 |
100 |
f |
1.06 |
100 |
f |
1.06 |
100 |
f |
1.06 |
100 |
|
|
|
|
|
|
|
|
|
|
|
abc |
0.01 |
15 |
abc |
0.02 |
31 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
abd |
0.02 |
15 |
abd |
0.02 |
40 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
acef |
0.01 |
15 |
acef |
0.01 |
21 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
abf |
0.02 |
34 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
acd |
0.02 |
33 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
aef |
0.02 |
36 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
abe |
0.02 |
35 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
ad |
0.01 |
16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
ae |
0.01 |
15 |
|
|
|
adef | 0.01 | 19 |
The column “True Phylo” denotes the underlying truth and the columns “QuartetS”, “QuartetA”, “QuartetM”, “Quartet-Net”, “Neighbor-Net”, and “Neighbor-Joining” denote the reconstructed results by each method respectively. In addition, “Wei” denotes the average weight of the corresponding split over 100 runs; “BV” denote bootstrap value.