DEVELOPMENT... OpenML
Run
87012

Run 87012

Task 3592 (Supervised Classification) fri_c2_100_5 Uploaded 03-12-2014 by Felicia West
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Flow

weka.Bagging_SPegasos(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_SPegasos(2)_I10
weka.Bagging_SPegasos(2)_P100
weka.Bagging_SPegasos(2)_S1
weka.Bagging_SPegasos(2)_Wweka.classifiers.functions.SPegasos
weka.Bagging_SPegasos(2)_num-slots1
weka.SPegasos(2)_E500
weka.SPegasos(2)_F0
weka.SPegasos(2)_L1.0E-4

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
0.7583
Per class
Build CPU time
0.0407
Build memory
388826999.2
F measure
0.7198
Per class
Kappa
0.4105
KB relative information score
33.8821
Mean absolute error
0.319
Mean prior absolute error
0.4804
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7291
Per class
Predictive accuracy
0.73
Prior entropy
0.9721
Recall
0.73
Per class
Relative absolute error
0.664
Root mean prior squared error
0.4899
Root mean squared error
0.4614
Root relative squared error
0.9418
SciMark benchmark
946.0329