DEVELOPMENT... OpenML
Run
63176

Run 63176

Task 3783 (Supervised Classification) fri_c2_500_50 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)_I40
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
0.7044
Per class
Build CPU time
1.981
Build memory
433894889.6
F measure
0.6561
Per class
Kappa
0.2845
KB relative information score
125.3397
Mean absolute error
0.3626
Mean prior absolute error
0.4839
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
0.6552
Per class
Predictive accuracy
0.66
Prior entropy
0.9767
Recall
0.66
Per class
Relative absolute error
0.7493
Root mean prior squared error
0.4918
Root mean squared error
0.5039
Root relative squared error
1.0245
SciMark benchmark
941.326