DEVELOPMENT... OpenML
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Run 41024

Task 3794 (Supervised Classification) disclosure_z Uploaded 29-10-2014 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)_I80
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
0.5196
Per class
Build CPU time
0.9088
Build memory
1012426307.6133
F measure
0.5205
Per class
Kappa
0.0383
KB relative information score
24.4021
Mean absolute error
0.4803
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
0.5206
Per class
Predictive accuracy
0.5227
Prior entropy
0.9981
Recall
0.5227
Per class
Relative absolute error
0.9631
Root mean prior squared error
0.4993
Root mean squared error
0.6287
Root relative squared error
1.259
SciMark benchmark
934.1739