DEVELOPMENT... OpenML
Run
62290

Run 62290

Task 3907 (Supervised Classification) mc1 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)_I20
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
0.8016
Per class
Build CPU time
31.2318
Build memory
2308099535.1861
F measure
0.9892
Per class
KB relative information score
1616.3651
Mean absolute error
0.0072
Mean prior absolute error
0.0144
Number of instances
9466
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9857
Per class
Predictive accuracy
0.9928
Prior entropy
0.0622
Recall
0.9928
Per class
Relative absolute error
0.5005
Root mean prior squared error
0.0845
Root mean squared error
0.0844
Root relative squared error
0.9995
SciMark benchmark
938.259