DEVELOPMENT... OpenML
Run
33386

Run 33386

Task 3923 (Supervised Classification) datatrieve 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
0.6532
Per class
Build CPU time
0.3254
Build memory
2308870899.2
F measure
0.8781
Per class
Kappa
0.0924
KB relative information score
-23.0499
Mean absolute error
0.1365
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8639
Per class
Predictive accuracy
0.9
Prior entropy
0.4395
Recall
0.9
Per class
Relative absolute error
0.8523
Root mean prior squared error
0.2784
Root mean squared error
0.2784
Root relative squared error
1.0002
SciMark benchmark
942.4189