DEVELOPMENT... OpenML
Run
62312

Run 62312

Task 3679 (Supervised Classification) chscase_vine2 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)_I20
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
0.5465
Per class
Build CPU time
0.1457
Build memory
1781243548.4445
F measure
0.5547
Per class
Kappa
0.15
KB relative information score
34.3294
Mean absolute error
0.4633
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
0.6159
Per class
Predictive accuracy
0.6004
Prior entropy
0.9937
Recall
0.6004
Per class
Relative absolute error
0.9349
Root mean prior squared error
0.4978
Root mean squared error
0.573
Root relative squared error
1.151
SciMark benchmark
942.7079