PAKDD 2007 Data Mining Competition
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Results and Reports

 

Thanks to everyone for your interest and participation in this competition!  We hope this was a good learning experience for everybody and that you would find the competition write-ups and results shared here to be useful.

 

Detailed Results

 

          Results VER2 (6.2 MB, zipped Excel File)

          Template VER2 (2.9 MB, zipped Excel File)

 

Reports

 

          All Reports Quick Download (4.2 MB, zipped Excel File)

 

ID & Report

Prediction Set AUC *

Rank

Modeling Technique

Remark

P014

64.53%

26

CHAID Decision Tree

 

P021

68.04%

14

Random Forest

In Top 20

P023

63.95%

29

Random Forest

 

P028

56.40%

37

Structural Resonance in Multidimensional Data

 

P041

68.28%

13

Scorecard Linear Additive Model

In Top 20

P049

70.01%

1

TreeNet + Logistic Regression

Grand Champion (Tie)

P054

69.61%

4

TreeNet

First Runner-Up (Tie)

P056

68.54%

12

Decision Tree + Neural Network + Logistic Regression

In Top 20

P060

60.37%

35

EnSVM [SVM + SMOTE + Bootstrap]

 

P071

49.88%

45

Decision Tree

 

P073

65.69%

23

Neural Network

 

P078

66.71%

20

Decision Tree + Neural Network + Logistic Regression

In Top 20

P079

65.28%

25

Neural Network

 

P080

55.10%

40

Decision Tree

 

P083

67.54%

18

Neural Network + General Additive Model

In Top 20

P085

69.99%

2

Probit Regression

Grand Champion (Tie)

P088

69.42%

5

TreeNet

In Top 10

P093

64.26%

28

Decision Tree + Neural Network + Polynomial Regression

 

P104

66.36%

21

Neural Network

 

P106

65.95%

22

Decision Tree + Neural Network + Logistic Regression

 

P116

67.58%

16

Logistic Regression

In Top 20

P123

52.24%

43

Customer Growth Model Clustering + SVM

 

P125

62.69%

32

3-Stage Logistic Regression

 

P126

69.10%

8

Logistic Regression + Decision Stump + AdaBoost + VFI

In Top 10

P128

50.06%

44

Predicted Apriori Association Rules + Nearest Neighbors

 

P134

69.14%

7

2-Layer Linear Regression

In Top 10

P135

62.18%

33

Support Vector Machine

 

P148

68.02%

15

Expanding Regression Tree + RankBoost + Bagging

In Top 20

P149

67.56%

17

J48 + BayesNet

In Top 20

P157

64.45%

27

underSampling Based on Clustering + CART Decision Tree

 

P160

55.93%

38

Neural Network

 

P169

62.73%

31

AVO Classificator

 

P172

67.50%

19

Decision Tree + Neural Network

In Top 20

P178

68.69%

10

Logistic Regression

In Top 10

P198

65.42%

24

Multi-dimension Balanced Random Forest

 

P202

59.26%

36

Unspecified

 

P211

49.29%

46

Neural Network

 

P212

69.62%

3

MLP + n-Tuple Classifier

First Runner-Up (Tie)

P216

47.73%

47

Weighted Randomized Random Forest Aggregation

 

P220

61.10%

34

Naive Bayes

 

P225

52.26%

42

Unspecified

 

P227

68.85%

9

Logistic Average of Single Decision Functions

In Top 10

P242

63.57%

30

Boosting Tree

 

P247

52.43%

41

Tree Boosting

 

P248

69.28%

6

Ridge Regression

In Top 10

P249

68.58%

11

Logistic Regression

In Top 20

P251

55.16%

39

Random Forest

 

* Area Under the ROC Curve approximated using the trapezoidal method.

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