DEVELOPMENT... OpenML
Run
37762

Run 37762

Task 4499 (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)_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
0.5415
Per class
Build CPU time
0.2393
Build memory
986891022.8967
F measure
0.5328
Per class
Kappa
0.0642
KB relative information score
400.4617
Mean absolute error
0.4693
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
0.5339
Per class
Predictive accuracy
0.5366
Prior entropy
0.9981
Recall
0.5366
Per class
Relative absolute error
0.941
Root mean prior squared error
0.4993
Root mean squared error
0.5968
Root relative squared error
1.1951
SciMark benchmark
939.9671

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