DEVELOPMENT... OpenML
Run
87069

Run 87069

Task 15 (Supervised Classification) breast-w 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
0.9772
Per class
Build CPU time
0.3361
Build memory
654245562.8727
F measure
0.9643
Per class
Kappa
0.9209
KB relative information score
638.6715
Mean absolute error
0.0376
Mean prior absolute error
0.452
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9643
Per class
Predictive accuracy
0.9642
Prior entropy
0.9297
Recall
0.9642
Per class
Relative absolute error
0.0833
Root mean prior squared error
0.4753
Root mean squared error
0.1753
Root relative squared error
0.3689
SciMark benchmark
934.8065