DEVELOPMENT... OpenML
Run
35102

Run 35102

Task 2956 (Supervised Classification) BNG(cmc) Uploaded 22-10-2014 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
0.6618
Per class
Build CPU time
595.0853
Build memory
1572589500.9457
F measure
0.5002
Per class
Kappa
0.2288
KB relative information score
62099.6364
Mean absolute error
0.4044
Mean prior absolute error
0.4307
Number of instances
552960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5401
Per class
Predictive accuracy
0.5287
Prior entropy
1.5387
Recall
0.5287
Per class
Relative absolute error
0.9389
Root mean prior squared error
0.4641
Root mean squared error
0.4466
Root relative squared error
0.9624
SciMark benchmark
823.9921