DEVELOPMENT... OpenML
Run
87710

Run 87710

Task 3800 (Supervised Classification) fri_c3_500_50 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
0.6508
Per class
Build CPU time
1.0571
Build memory
364172132.8
F measure
0.6112
Per class
Kappa
0.2132
KB relative information score
88.7131
Mean absolute error
0.4052
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6134
Per class
Predictive accuracy
0.61
Prior entropy
0.9882
Recall
0.61
Per class
Relative absolute error
0.8238
Root mean prior squared error
0.4959
Root mean squared error
0.5225
Root relative squared error
1.0537
SciMark benchmark
931.4894