DEVELOPMENT... OpenML
Run
34707

Run 34707

Task 3916 (Supervised Classification) kc1-binary Uploaded 19-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I80
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.8357
Per class
Build CPU time
1.9324
Build memory
1609274156.6897
F measure
0.7523
Per class
Kappa
0.4907
KB relative information score
52.4234
Mean absolute error
0.3197
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7531
Per class
Predictive accuracy
0.7517
Prior entropy
0.979
Recall
0.7517
Per class
Relative absolute error
0.6588
Root mean prior squared error
0.4925
Root mean squared error
0.4002
Root relative squared error
0.8126
SciMark benchmark
939.0966