DEVELOPMENT... OpenML
Run
63996

Run 63996

Task 3779 (Supervised Classification) fri_c3_100_5 Uploaded 17-11-2014 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)_I80
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
0.7234
Per class
Build CPU time
0.063
Build memory
588108532
F measure
0.6452
Per class
Kappa
0.2775
KB relative information score
21.5693
Mean absolute error
0.3942
Mean prior absolute error
0.4929
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6468
Per class
Predictive accuracy
0.65
Prior entropy
0.99
Recall
0.65
Per class
Relative absolute error
0.7997
Root mean prior squared error
0.4964
Root mean squared error
0.4677
Root relative squared error
0.9422
SciMark benchmark
939.9473