DEVELOPMENT... OpenML
Run
39220

Run 39220

Task 3946 (Supervised Classification) KDDCup09_churn Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7151
Per class
Build CPU time
1722.1779
Build memory
934083750.4
F measure
0.8917
Per class
Kappa
0.005
KB relative information score
12323.1269
Mean absolute error
0.0737
Mean prior absolute error
0.1361
Number of instances
50000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8938
Per class
Predictive accuracy
0.9265
Prior entropy
0.3787
Recall
0.9265
Per class
Relative absolute error
0.5413
Root mean prior squared error
0.2609
Root mean squared error
0.2705
Root relative squared error
1.037
SciMark benchmark
946.7854