DEVELOPMENT... OpenML
Run
87413

Run 87413

Task 3917 (Supervised Classification) kc1 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
0.581
Per class
Build CPU time
2.0219
Build memory
187262953.669
F measure
0.8034
Per class
Kappa
0.1347
KB relative information score
680.8479
Mean absolute error
0.1447
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8311
Per class
Predictive accuracy
0.8535
Prior entropy
0.622
Recall
0.8535
Per class
Relative absolute error
0.553
Root mean prior squared error
0.3615
Root mean squared error
0.3717
Root relative squared error
1.0282
SciMark benchmark
931.4894