DEVELOPMENT... OpenML
Run
39794

Run 39794

Task 2952 (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)_I40
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
0.994
Per class
Build CPU time
107.2465
Build memory
1099465587.0786
F measure
0.9836
Per class
Kappa
0.9636
KB relative information score
378683.1373
Mean absolute error
0.0164
Mean prior absolute error
0.4514
Number of instances
393660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9836
Per class
Predictive accuracy
0.9835
Prior entropy
0.9287
Recall
0.9835
Per class
Relative absolute error
0.0364
Root mean prior squared error
0.4751
Root mean squared error
0.1259
Root relative squared error
0.265
SciMark benchmark
935.2997