DEVELOPMENT... OpenML
Run
38123

Run 38123

Task 4567 (Supervised Classification) audiology 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)_I20
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
0.9529
Per class
Build CPU time
0.1328
Build memory
934725704.8071
F measure
0.9614
Per class
Kappa
0.8973
KB relative information score
1989.8768
Mean absolute error
0.0395
Mean prior absolute error
0.3783
Number of instances
2260
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9613
Per class
Predictive accuracy
0.9615
Prior entropy
0.8182
Recall
0.9615
Per class
Relative absolute error
0.1045
Root mean prior squared error
0.4343
Root mean squared error
0.1949
Root relative squared error
0.4489
SciMark benchmark
938.4414