DEVELOPMENT... OpenML
Run
44843

Run 44843

Task 3794 (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
0.5138
Per class
Build CPU time
2.0399
Build memory
1162836191.4804
F measure
0.524
Per class
Kappa
0.0454
KB relative information score
21.2576
Mean absolute error
0.4831
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
0.5239
Per class
Predictive accuracy
0.5242
Prior entropy
0.9981
Recall
0.5242
Per class
Relative absolute error
0.9687
Root mean prior squared error
0.4993
Root mean squared error
0.6421
Root relative squared error
1.2858
SciMark benchmark
945.8425