DEVELOPMENT... OpenML
Run
63153

Run 63153

Task 3743 (Supervised Classification) fri_c2_500_25 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
0.6475
Per class
Build CPU time
0.8953
Build memory
331212791.2
F measure
0.6139
Per class
Kappa
0.1805
KB relative information score
69.7059
Mean absolute error
0.4086
Mean prior absolute error
0.4768
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
0.6132
Per class
Predictive accuracy
0.626
Prior entropy
0.9664
Recall
0.626
Per class
Relative absolute error
0.8569
Root mean prior squared error
0.4882
Root mean squared error
0.4967
Root relative squared error
1.0175
SciMark benchmark
941.326