DEVELOPMENT... OpenML
Run
63923

Run 63923

Task 3680 (Supervised Classification) chscase_vine1 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
0.7917
Per class
Build CPU time
0.0762
Build memory
116527576
F measure
0.7682
Per class
Kappa
0.5329
KB relative information score
27.1297
Mean absolute error
0.2395
Mean prior absolute error
0.4972
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7695
Per class
Predictive accuracy
0.7692
Prior entropy
0.996
Recall
0.7692
Per class
Relative absolute error
0.4818
Root mean prior squared error
0.4985
Root mean squared error
0.4508
Root relative squared error
0.9043
SciMark benchmark
941.326