DEVELOPMENT... OpenML
Run
64841

Run 64841

Task 3841 (Supervised Classification) mfeat-factors Uploaded 18-11-2014 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)_I160
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
0.9942
Per class
Build CPU time
223.9072
Build memory
999013036
F measure
0.997
Per class
Kappa
0.9833
KB relative information score
1950.3549
Mean absolute error
0.003
Mean prior absolute error
0.1803
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.997
Per class
Predictive accuracy
0.997
Prior entropy
0.4703
Recall
0.997
Per class
Relative absolute error
0.0166
Root mean prior squared error
0.3
Root mean squared error
0.0548
Root relative squared error
0.1826
SciMark benchmark
946.5361