DEVELOPMENT... OpenML
Run
38089

Run 38089

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)_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
0.5298
Per class
Build CPU time
0.2256
Build memory
63879039.7704
F measure
0.5189
Per class
Kappa
0.0362
KB relative information score
29.6775
Mean absolute error
0.4766
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
0.5197
Per class
Predictive accuracy
0.5227
Prior entropy
0.9981
Recall
0.5227
Per class
Relative absolute error
0.9556
Root mean prior squared error
0.4993
Root mean squared error
0.6012
Root relative squared error
1.2041
SciMark benchmark
943.8925