DEVELOPMENT... OpenML
Run
44598

Run 44598

Task 4499 (Supervised Classification) disclosure_z Uploaded 30-10-2014 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)_I160
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
0.5338
Per class
Build CPU time
1.6874
Build memory
1239417338.539
F measure
0.5304
Per class
Kappa
0.058
KB relative information score
359.6981
Mean absolute error
0.4716
Mean prior absolute error
0.4987
Number of instances
6620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5304
Per class
Predictive accuracy
0.5322
Prior entropy
0.9981
Recall
0.5322
Per class
Relative absolute error
0.9457
Root mean prior squared error
0.4993
Root mean squared error
0.6353
Root relative squared error
1.2722
SciMark benchmark
944.7154