|
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.
|