AusDM 2009

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Last updated: Saturday 4th of February 2012 05:33:37 PM GMT

small RMSE

Rank	Team Name	Last	Best	Best Method
1	DMLab	877.456	877.456
2	sayni2009	877.689	877.689	Mix & DOI:10.3103/S1060992X08030041
3	Optibrebs	877.907	877.907	Transformed Triple M (feat Ensemble)
4	snustat_mk	1317.73	878.097
5	aaaaa	1340.32	878.097
6	snustat	1312.22	878.902
7	TULIP	900.551	879.018
8	oloolo	880.021	879.736	test
9	snustat jbh	879.796	879.796
10	MIPT Research	881.878	881.878	fbss
11	Combador	931.128	882.03	Testing for small score
12	Baseline	884.359	884.359	Average Top 10 Experts
13	Baseline	888.32	888.32	Best Expert
14	Serendipity	898.844	891.201	Performance cutoff 72.5
15	Baseline	891.862	891.862	Iterative Gradient Descent
16	Baseline	892.77	892.77	Average All Experts
17	Baseline	994.118	994.118	Worst Expert
18	snustat1234	1160.13	1160.13	lars+bag

small AUC

Rank	Team Name	Last	Best	Best Method
1	NosferatoCorp	0.883564	0.883564	GMB
2	oloolo	0.875442	0.881009	ProbEnsemble
3	snustat1234	0.878589	0.878589
4	snustat jbh	0.87667	0.87667
5	Baseline	0.875962	0.875962	Hill Climbing
6	Baseline	0.87422	0.87422	Average Top 10 Experts
7	Baseline	0.86969	0.86969	Best Expert
8	Serendipity	0.865194	0.868359	Logistic Regression
9	snustat_mk	0.865601	0.865601
10	Baseline	0.8656	0.8656	Average All Experts
11	aaaaa	0.846393	0.846393
12	Baseline	0.79471	0.79471	Worst Expert
13	snustat	0.118164	0.720332
14	qwer	0.706514	0.706514
15	MIPT Research	0.0968287	0.0968287	GeneticSearch

medium RMSE

Rank	Team Name	Last	Best	Best Method
1	LatentView	881.322	881.322
2	DMLab	881.804	881.804
3	Baseline	881.98	881.98	Linear Regression Ensemble
4	NosferatoCorp	884.932	881.65	crippledGMB
5	oloolo	885.268	882.804	10-fold
6	Baseline	885.299	885.299	Linear Regression
7	TULIP	885.603	884.128
8	Baseline	888.649	888.649	Average Top 10 Experts
9	Baseline	892.249	892.249	Best Expert
10	Baseline	894.827	894.827	Average All Experts
11	Baseline	947.88	947.88	Worst Expert

medium AUC

Rank	Team Name	Last	Best	Best Method
1	NosferatoCorp	0.392008	0.392008	GeneticMetaBlender
2	Baseline	0.3687	0.3687	Logistic Regression Ensemble
3	oloolo	0.366553	0.369178	RankEnsemble
4	Baseline	0.3635	0.3635	Logistic Regression
5	Serendipity	0.351463	0.351463	LR 5% bins
6	Baseline	0.3284	0.3284	Average Top 10 Experts
7	Baseline	0.3243	0.3243	Best Expert
8	Baseline	0.3218	0.3218	Average All Experts
9	Baseline	0.2522	0.2522	Worst Expert

large RMSE

Rank	Team Name	Last	Best	Best Method
1	NosferatoCorp	865.861	865.861	crippledGMB
2	Baseline	866.785	866.785	Linear Regression Ensemble
3	Baseline	873.204	873.204	Average Top 10 Experts
4	Baseline	873.219	873.219	Linear Regression
5	Baseline	880.269	880.269	Best Expert
6	Baseline	880.766	880.766	Average All Experts
7	Baseline	933.278	933.278	Worst Expert

large AUC

Rank	Team Name	Last	Best	Best Method
1	ADM1	0.698372	0.698372	L_ALL7_Score
2	Baseline	0.6903	0.6903	Logistic Regression Ensemble
3	Baseline	0.6702	0.6702	Logistic Regression
4	Baseline	0.6592	0.6592	Average Top 10 Experts
5	Serendipity	0.656741	0.656741	LR on models with 82% or better perf
6	Baseline	0.6532	0.6532	Average All Experts
7	Baseline	0.6526	0.6526	Best Expert
8	Baseline	0.5564	0.5564	Worst Expert