DEVELOPMENT... OpenML
Run
33724

Run 33724

Task 3754 (Supervised Classification) sleuth_case1202 Uploaded 15-10-2014 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
0.8587
Per class
Build CPU time
0.1418
Build memory
879117725.5054
F measure
0.8408
Per class
Kappa
0.6751
KB relative information score
49.4113
Mean absolute error
0.2298
Mean prior absolute error
0.475
Number of instances
93
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8585
Per class
Predictive accuracy
0.8387
Prior entropy
0.9645
Recall
0.8387
Per class
Relative absolute error
0.4837
Root mean prior squared error
0.4871
Root mean squared error
0.35
Root relative squared error
0.7186
SciMark benchmark
840.1942