DEVELOPMENT... OpenML
Run
87568

Run 87568

Task 3494 (Supervised Classification) monks-problems-3 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
0.9889
Per class
Build CPU time
0.447
Build memory
255055774.4838
F measure
0.9892
Per class
Kappa
0.9783
KB relative information score
541.9683
Mean absolute error
0.0108
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9893
Per class
Predictive accuracy
0.9892
Prior entropy
0.9989
Recall
0.9892
Per class
Relative absolute error
0.0217
Root mean prior squared error
0.4996
Root mean squared error
0.1041
Root relative squared error
0.2083
SciMark benchmark
939.7809