DEVELOPMENT... OpenML
Run
33590

Run 33590

Task 1892 (Supervised Classification) mfeat-factors 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
0.9983
Per class
Build CPU time
590.6336
Build memory
112102093.04
F measure
0.9679
Per class
Kappa
0.9643
KB relative information score
18270.4245
Mean absolute error
0.0291
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9682
Per class
Predictive accuracy
0.9679
Prior entropy
3.3219
Recall
0.9679
Per class
Relative absolute error
0.1617
Root mean prior squared error
0.3
Root mean squared error
0.0879
Root relative squared error
0.2932
SciMark benchmark
574.5346