DEVELOPMENT... OpenML
Run
87359

Run 87359

Task 3909 (Supervised Classification) ar1 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
0.627
Per class
Build CPU time
0.1421
Build memory
1144121987.438
F measure
0.8825
Per class
Kappa
0.0785
KB relative information score
-62.5159
Mean absolute error
0.1314
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8736
Per class
Predictive accuracy
0.8926
Prior entropy
0.4067
Recall
0.8926
Per class
Relative absolute error
0.9152
Root mean prior squared error
0.2625
Root mean squared error
0.2893
Root relative squared error
1.1023
SciMark benchmark
933.5169