DEVELOPMENT... OpenML
Run
39689

Run 39689

Task 3794 (Supervised Classification) disclosure_z 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)_I40
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
0.5163
Per class
Build CPU time
0.4431
Build memory
1432551190.429
F measure
0.5195
Per class
Kappa
0.036
KB relative information score
18.6096
Mean absolute error
0.4851
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5194
Per class
Predictive accuracy
0.5211
Prior entropy
0.9981
Recall
0.5211
Per class
Relative absolute error
0.9728
Root mean prior squared error
0.4993
Root mean squared error
0.6167
Root relative squared error
1.235
SciMark benchmark
944.0892