DEVELOPMENT... OpenML
Run
44089

Run 44089

Task 2328 (Supervised Classification) BNG(breast-w) 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)_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
0.9941
Per class
Build CPU time
268.859
Build memory
327596160
F measure
0.9859
Per class
Kappa
0.969
KB relative information score
12627.9121
Mean absolute error
0.0142
Mean prior absolute error
0.4529
Number of instances
12990
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9859
Per class
Predictive accuracy
0.9859
Prior entropy
0.9287
Recall
0.9859
Per class
Relative absolute error
0.0313
Root mean prior squared error
0.4767
Root mean squared error
0.1163
Root relative squared error
0.2439
SciMark benchmark
890.4487