DEVELOPMENT... OpenML
Run
41047

Run 41047

Task 4567 (Supervised Classification) audiology 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)_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
0.9467
Per class
Build CPU time
0.6255
Build memory
908018018.977
F measure
0.9591
Per class
Kappa
0.8911
KB relative information score
1978.8905
Mean absolute error
0.0409
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
0.959
Per class
Predictive accuracy
0.9593
Prior entropy
0.8182
Recall
0.9593
Per class
Relative absolute error
0.1082
Root mean prior squared error
0.4343
Root mean squared error
0.1982
Root relative squared error
0.4565
SciMark benchmark
941.4198