DEVELOPMENT... OpenML
Run
64805

Run 64805

Task 3759 (Supervised Classification) fri_c3_500_25 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
0.6584
Per class
Build CPU time
0.6518
Build memory
630482932
F measure
0.6236
Per class
Kappa
0.2355
KB relative information score
72.3965
Mean absolute error
0.4279
Mean prior absolute error
0.4928
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6233
Per class
Predictive accuracy
0.624
Prior entropy
0.9897
Recall
0.624
Per class
Relative absolute error
0.8683
Root mean prior squared error
0.4964
Root mean squared error
0.4899
Root relative squared error
0.9869
SciMark benchmark
939.0518