DEVELOPMENT... OpenML
Run
40582

Run 40582

Task 2142 (Supervised Classification) BNG(breast-w) 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
0.9944
Per class
Build CPU time
184.9276
Build memory
691524031.5488
F measure
0.9848
Per class
Kappa
0.9664
KB relative information score
37992.8834
Mean absolute error
0.0151
Mean prior absolute error
0.4514
Number of instances
39366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9849
Per class
Predictive accuracy
0.9848
Prior entropy
0.9287
Recall
0.9848
Per class
Relative absolute error
0.0334
Root mean prior squared error
0.4751
Root mean squared error
0.12
Root relative squared error
0.2527
SciMark benchmark
931.9798