DEVELOPMENT... OpenML
Run
63930

Run 63930

Task 3689 (Supervised Classification) fri_c1_500_10 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
0.703
Per class
Build CPU time
0.2715
Build memory
116044244
F measure
0.6483
Per class
Kappa
0.2887
KB relative information score
87.7914
Mean absolute error
0.4192
Mean prior absolute error
0.4954
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
0.6501
Per class
Predictive accuracy
0.652
Prior entropy
0.9934
Recall
0.652
Per class
Relative absolute error
0.8462
Root mean prior squared error
0.4977
Root mean squared error
0.4725
Root relative squared error
0.9495
SciMark benchmark
941.326