DEVELOPMENT... OpenML
Run
33601

Run 33601

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7767
Per class
Build CPU time
0.2882
Build memory
1361111019.2184
F measure
0.688
Per class
Kappa
0.3761
KB relative information score
25.5366
Mean absolute error
0.3637
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.691
Per class
Predictive accuracy
0.6897
Prior entropy
0.9992
Recall
0.6897
Per class
Relative absolute error
0.7283
Root mean prior squared error
0.4997
Root mean squared error
0.4313
Root relative squared error
0.8631
SciMark benchmark
940.5113