DEVELOPMENT... OpenML
Run
62350

Run 62350

Task 3724 (Supervised Classification) vinnie 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
0.8948
Per class
Build CPU time
0.1103
Build memory
59462621.6
F measure
0.8392
Per class
Kappa
0.6782
KB relative information score
233.3375
Mean absolute error
0.2025
Mean prior absolute error
0.4997
Number of instances
380
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8404
Per class
Predictive accuracy
0.8395
Prior entropy
0.9995
Recall
0.8395
Per class
Relative absolute error
0.4053
Root mean prior squared error
0.4998
Root mean squared error
0.3625
Root relative squared error
0.7253
SciMark benchmark
942.728