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Last updated: Friday 18th of January 2019 06:15:27 PM GMT

small RMSE
Rank Team Name Last Best Best Method
1DMLab877.456877.456
2sayni2009877.689877.689Mix & DOI:10.3103/S1060992X08030041
3Optibrebs877.907877.907Transformed Triple M (feat Ensemble)
4snustat_mk1317.73878.097
5aaaaa1340.32878.097
6snustat1312.22878.902
7TULIP900.551879.018
8oloolo888.723879.736test
9snustat jbh879.796879.796
10MIPT Research881.878881.878fbss
11Combador931.128882.03Testing for small score
12Baseline884.359884.359Average Top 10 Experts
13Baseline888.32888.32Best Expert
14Serendipity898.844891.201Performance cutoff 72.5
15Baseline891.862891.862Iterative Gradient Descent
16Baseline892.77892.77Average All Experts
17Baseline994.118994.118Worst Expert
18snustat12341160.131160.13lars+bag
small AUC
Rank Team Name Last Best Best Method
1NosferatoCorp0.8835640.883564GMB
2oloolo0.8755060.881009ProbEnsemble
3snustat12340.8785890.878589
4snustat jbh0.876670.87667
5Baseline0.8759620.875962Hill Climbing
6Baseline0.874220.87422Average Top 10 Experts
7Baseline0.869690.86969Best Expert
8Serendipity0.8651940.868359Logistic Regression
9snustat_mk0.8656010.865601
10Baseline0.86560.8656Average All Experts
11aaaaa0.8463930.846393
12Baseline0.794710.79471Worst Expert
13snustat0.1181640.720332
14qwer0.7065140.706514
15MIPT Research0.09682870.0968287GeneticSearch


medium RMSE
Rank Team Name Last Best Best Method
1LatentView881.322881.322
2DMLab881.804881.804
3Baseline881.98881.98Linear Regression Ensemble
4NosferatoCorp884.932881.65crippledGMB
5oloolo885.268882.80410-fold
6Baseline885.299885.299Linear Regression
7TULIP885.603884.128
8Baseline888.649888.649Average Top 10 Experts
9Baseline892.249892.249Best Expert
10Baseline894.827894.827Average All Experts
11Baseline947.88947.88Worst Expert
medium AUC
Rank Team Name Last Best Best Method
1NosferatoCorp0.3920080.392008GeneticMetaBlender
2Baseline0.36870.3687Logistic Regression Ensemble
3oloolo0.3665530.369178RankEnsemble
4Baseline0.36350.3635Logistic Regression
5Serendipity0.3514630.351463LR 5% bins
6Baseline0.32840.3284Average Top 10 Experts
7Baseline0.32430.3243Best Expert
8Baseline0.32180.3218Average All Experts
9Baseline0.25220.2522Worst Expert


large RMSE
Rank Team Name Last Best Best Method
1NosferatoCorp865.861865.861crippledGMB
2Baseline866.785866.785Linear Regression Ensemble
3Baseline873.204873.204Average Top 10 Experts
4Baseline873.219873.219Linear Regression
5Baseline880.269880.269Best Expert
6Baseline880.766880.766Average All Experts
7Baseline933.278933.278Worst Expert
large AUC
Rank Team Name Last Best Best Method
1ADM10.6983720.698372L_ALL7_Score
2Baseline0.69030.6903Logistic Regression Ensemble
3Baseline0.67020.6702Logistic Regression
4Baseline0.65920.6592Average Top 10 Experts
5Serendipity0.6567410.656741LR on models with 82% or better perf
6Baseline0.65320.6532Average All Experts
7Baseline0.65260.6526Best Expert
8Baseline0.55640.5564Worst Expert