DEVELOPMENT... OpenML
Run
87324

Run 87324

Task 3647 (Supervised Classification) rabe_266 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
0.9779
Per class
Build CPU time
0.0313
Build memory
458304446.4
F measure
0.95
Per class
Kappa
0.8997
KB relative information score
105.0345
Mean absolute error
0.0642
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.95
Per class
Predictive accuracy
0.95
Prior entropy
0.9983
Recall
0.95
Per class
Relative absolute error
0.1287
Root mean prior squared error
0.4994
Root mean squared error
0.1994
Root relative squared error
0.3992
SciMark benchmark
935.5532