DEVELOPMENT... OpenML
Run
35314

Run 35314

Task 4601 (Supervised Classification) ada_agnostic Uploaded 24-10-2014 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)_I10
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
0.848
Per class
Build CPU time
33.065
Build memory
293492758.9941
F measure
0.8334
Per class
Kappa
0.5319
KB relative information score
17070.9422
Mean absolute error
0.2365
Mean prior absolute error
0.3732
Number of instances
45620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8384
Per class
Predictive accuracy
0.8448
Prior entropy
0.8085
Recall
0.8448
Per class
Relative absolute error
0.6338
Root mean prior squared error
0.4319
Root mean squared error
0.3391
Root relative squared error
0.7852
SciMark benchmark
943.7729