DEVELOPMENT... OpenML
Run
33295

Run 33295

Task 3646 (Supervised Classification) rabe_265 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
0.6794
Per class
Build CPU time
0.2685
Build memory
28147601.5686
F measure
0.6744
Per class
Kappa
0.3234
KB relative information score
10.4937
Mean absolute error
0.3957
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.683
Per class
Predictive accuracy
0.6863
Prior entropy
0.9791
Recall
0.6863
Per class
Relative absolute error
0.8159
Root mean prior squared error
0.4922
Root mean squared error
0.4628
Root relative squared error
0.9404
SciMark benchmark
945.3402