DEVELOPMENT... OpenML
Run
63998

Run 63998

Task 3781 (Supervised Classification) fri_c4_250_50 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
0.5729
Per class
Build CPU time
1.8749
Build memory
212993052.8
F measure
0.5593
Per class
Kappa
0.112
KB relative information score
26.6564
Mean absolute error
0.4444
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5589
Per class
Predictive accuracy
0.56
Prior entropy
0.9955
Recall
0.56
Per class
Relative absolute error
0.8944
Root mean prior squared error
0.4984
Root mean squared error
0.5891
Root relative squared error
1.182
SciMark benchmark
942.7079