DEVELOPMENT... OpenML
Run
63099

Run 63099

Task 3862 (Supervised Classification) audiology Uploaded 16-11-2014 by Felicia West
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Flow

weka.MultiBoostAB_SPegasos(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4
weka.MultiBoostAB_SPegasos(2)_C3
weka.MultiBoostAB_SPegasos(2)_P100
weka.MultiBoostAB_SPegasos(2)_S1
weka.MultiBoostAB_SPegasos(2)_I40
weka.MultiBoostAB_SPegasos(2)_Wweka.classifiers.functions.SPegasos

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
0.9355
Per class
Build CPU time
2.7571
Build memory
871956055.823
F measure
0.9555
Per class
Kappa
0.8813
KB relative information score
195.7537
Mean absolute error
0.0442
Mean prior absolute error
0.3783
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9554
Per class
Predictive accuracy
0.9558
Prior entropy
0.8182
Recall
0.9558
Per class
Relative absolute error
0.117
Root mean prior squared error
0.4343
Root mean squared error
0.2104
Root relative squared error
0.4844
SciMark benchmark
929.2431

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