|
LOCANET** New: result analysis ** |
Provide a
depth 3 causal network (oriented graph structure) around the target
using training data only, i.e., <dataname>0_train.data and
<dataname>0_train.targets. |
Depth |
Desired |
|
1 |
1 |
2 |
2 |
2 |
2 |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
3 |
X |
Obtained |
Relationship |
|
P |
C |
Sp |
GC |
Si |
GP |
GGP |
uud |
N |
PS |
SC |
IL |
CP |
GGC |
Other |
|
|
|
u |
d |
du |
dd |
ud |
uu |
uuu |
uud |
udd |
udu |
ddu |
duu |
dud |
ddd |
|
1 |
Parents |
u |
0 |
1 |
1 |
2 |
1 |
1 |
2 |
2 |
2 |
2 |
2 |
2 |
2 |
3 |
4 |
1 |
Children |
d |
1 |
0 |
1 |
1 |
1 |
2 |
3 |
2 |
2 |
2 |
2 |
2 |
2 |
2 |
4 |
2 |
Spouses |
du |
1 |
1 |
0 |
1 |
2 |
1 |
2 |
2 |
2 |
1 |
1 |
1 |
1 |
2 |
4 |
2 |
Gchildren |
dd |
2 |
1 |
1 |
0 |
1 |
2 |
3 |
2 |
1 |
2 |
1 |
2 |
1 |
1 |
4 |
2 |
Siblings |
ud |
1 |
1 |
2 |
1 |
0 |
1 |
2 |
1 |
1 |
1 |
2 |
2 |
1 |
2 |
4 |
2 |
Gparents |
uu |
1 |
2 |
1 |
2 |
1 |
0 |
1 |
1 |
2 |
1 |
2 |
1 |
2 |
3 |
4 |
3 |
Ggparents |
uuu |
2 |
3 |
2 |
3 |
2 |
1 |
0 |
1 |
2 |
1 |
2 |
1 |
2 |
3 |
4 |
3 |
Uncles/Aunts |
uud |
2 |
2 |
2 |
2 |
1 |
1 |
1 |
0 |
1 |
2 |
3 |
2 |
1 |
2 |
4 |
3 |
Nieces/Nephews |
udd |
2 |
2 |
2 |
1 |
1 |
2 |
2 |
1 |
0 |
1 |
2 |
3 |
2 |
1 |
4 |
3 |
Parents of siblings |
udu |
2 |
2 |
1 |
2 |
1 |
1 |
1 |
2 |
1 |
0 |
1 |
2 |
2 |
2 |
4 |
3 |
Spouses of children |
ddu |
2 |
2 |
1 |
1 |
2 |
2 |
2 |
3 |
2 |
1 |
0 |
1 |
2 |
1 |
4 |
3 |
Parents in law |
duu |
2 |
2 |
1 |
2 |
2 |
1 |
1 |
2 |
3 |
2 |
1 |
0 |
1 |
2 |
4 |
3 |
Children of spouses |
dud |
2 |
2 |
1 |
1 |
1 |
2 |
2 |
1 |
2 |
2 |
2 |
1 |
0 |
1 |
4 |
3 |
Ggchildren |
ddd |
3 |
2 |
2 |
1 |
2 |
3 |
3 |
2 |
1 |
2 |
1 |
2 |
1 |
0 |
4 |
X |
Other |
|
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
4 |
0 |
|
LUCAS |
LUCAP |
REGED |
SIDO |
CINA |
MARTI |
Brown |
|
|
0.11 |
3.44 |
1.76 |
0.44 |
De-Prado-Cumplido |
|
|
|
|
2.83 |
|
Dindar |
|
|
|
|
1.70 |
|
Engin |
|
|
|
3.48 |
|
|
Kirkagaclioglu |
|
|
|
|
2.16 |
|
Mwebaze |
0.73 |
2.04 |
0.22 |
3.36 |
2.38 |
|
Oguz |
|
|
|
|
1.75 |
|
Olsen |
|
|
0.52 |
|
3.31 |
0.21 |
Tillman |
|
|
0.32 |
|
1.55 |
|
Wang |
|
|
0.50 |
3.31 |
2.17 |
0.93 |
Reference A |
0.09 |
1.09 |
0.01 |
0.64 |
0.64 |
0.02 |
Reference B |
2.36 |
1.87 |
0.16 |
1.92 |
1.89 |
0.16 |
Reference C |
2.09 |
1.43 |
3.08 |
|
1.67 |
3.01 |
Reference D |
3.56 |
3.33 |
0.22 |
3.67 |
3.64 |
0.21 |
Laura Brown and Ioannis
Tsamardinos |
A
Strategy for Making Predictions Under Manipulation (JMLR W&CP,
3:35-52, 2008) |
[Abstract][Fact
Sheet] |
Catharina Olsen |
Using mutual information
to infer causal relationships |
[Fact
Sheet] |
Robert Tillman and
Joseph Ramsey |
Fan search with Bayesian scoring
for directionality applied to the LOCANET challenge |
[Fact
Sheet] |
Mario de-Prado-Cumplido |
Discovery of Causation
Direction by Machine Learning Techniques |
[Abstract][Poster] |
Ernest Mwebaze,
John A. Quinn |
Fast Committee-Based
Structure Learning |
[Preprint] |
You Zhou, Changzhang
Wang, Jianxin Yin, Zhi Geng |
Discover Local Causal
Network around a Target with a Given Depth |
[Preprint][Fact Sheet] |