DEVELOPMENT... OpenML
Run
87388

Run 87388

Task 3913 (Supervised Classification) kc2 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
0.6952
Per class
Build CPU time
0.5105
Build memory
67229055.3563
F measure
0.8176
Per class
Kappa
0.3914
KB relative information score
225.3081
Mean absolute error
0.1621
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8332
Per class
Predictive accuracy
0.8429
Prior entropy
0.734
Recall
0.8429
Per class
Relative absolute error
0.4962
Root mean prior squared error
0.4037
Root mean squared error
0.3803
Root relative squared error
0.942
SciMark benchmark
904.8754