DEVELOPMENT... OpenML
Run
63946

Run 63946

Task 3725 (Supervised Classification) auto93 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
0.8355
Per class
Build CPU time
1.8102
Build memory
142942062.7957
F measure
0.8485
Per class
Kappa
0.6756
KB relative information score
62.0058
Mean absolute error
0.1524
Mean prior absolute error
0.4701
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8484
Per class
Predictive accuracy
0.8495
Prior entropy
0.9573
Recall
0.8495
Per class
Relative absolute error
0.3242
Root mean prior squared error
0.4845
Root mean squared error
0.388
Root relative squared error
0.8008
SciMark benchmark
942.7079