DEVELOPMENT... OpenML
Run
40520

Run 40520

Task 4612 (Supervised Classification) mc1 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)_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
0.7959
Per class
Build CPU time
135.8223
Build memory
1525501423.0662
F measure
0.9937
Per class
Kappa
0.4795
KB relative information score
36497.8117
Mean absolute error
0.0053
Mean prior absolute error
0.0144
Number of instances
94660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9941
Per class
Predictive accuracy
0.9948
Prior entropy
0.0622
Recall
0.9948
Per class
Relative absolute error
0.3665
Root mean prior squared error
0.0845
Root mean squared error
0.0712
Root relative squared error
0.8431
SciMark benchmark
931.9798

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