DEVELOPMENT... OpenML
Run
64791

Run 64791

Task 3679 (Supervised Classification) chscase_vine2 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
0.5351
Per class
Build CPU time
0.1168
Build memory
1961598046.7863
F measure
0.5272
Per class
Kappa
0.0894
KB relative information score
20.1408
Mean absolute error
0.4761
Mean prior absolute error
0.4956
Number of instances
468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5669
Per class
Predictive accuracy
0.5705
Prior entropy
0.9937
Recall
0.5705
Per class
Relative absolute error
0.9607
Root mean prior squared error
0.4978
Root mean squared error
0.5754
Root relative squared error
1.1559
SciMark benchmark
939.0518