DEVELOPMENT... OpenML
Run
33332

Run 33332

Task 3909 (Supervised Classification) ar1 Uploaded 14-10-2014 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)_I160
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
0.7917
Per class
Build CPU time
0.4436
Build memory
466306323.8347
F measure
0.9031
Per class
Kappa
0.1591
KB relative information score
-11.3983
Mean absolute error
0.1135
Mean prior absolute error
0.1436
Number of instances
121
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9006
Per class
Predictive accuracy
0.9256
Prior entropy
0.4067
Recall
0.9256
Per class
Relative absolute error
0.7906
Root mean prior squared error
0.2625
Root mean squared error
0.2494
Root relative squared error
0.9502
SciMark benchmark
942.3084