DEVELOPMENT... OpenML
Run
39713

Run 39713

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)_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
0.95
Per class
Build CPU time
0.1569
Build memory
908998531.2956
F measure
0.9595
Per class
Kappa
0.8922
KB relative information score
1978.8513
Mean absolute error
0.041
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
0.9595
Per class
Predictive accuracy
0.9597
Prior entropy
0.8182
Recall
0.9597
Per class
Relative absolute error
0.1083
Root mean prior squared error
0.4343
Root mean squared error
0.198
Root relative squared error
0.4558
SciMark benchmark
942.4851