DEVELOPMENT... OpenML
Run
87509

Run 87509

Task 3722 (Supervised Classification) hungarian 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
0.8889
Per class
Build CPU time
0.2973
Build memory
165431650.5306
F measure
0.8254
Per class
Kappa
0.6153
KB relative information score
171.6657
Mean absolute error
0.1905
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8295
Per class
Predictive accuracy
0.8299
Prior entropy
0.9439
Recall
0.8299
Per class
Relative absolute error
0.4129
Root mean prior squared error
0.4802
Root mean squared error
0.3588
Root relative squared error
0.7472
SciMark benchmark
931.4894