DEVELOPMENT... OpenML
Run
33804

Run 33804

Task 4288 (Supervised Classification) rmftsa_ladata Uploaded 16-10-2014 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
0.9569
Per class
Build CPU time
3.0139
Build memory
99549313.9512
F measure
0.8908
Per class
Kappa
0.7778
KB relative information score
3494.7698
Mean absolute error
0.1645
Mean prior absolute error
0.4921
Number of instances
5080
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8908
Per class
Predictive accuracy
0.8909
Prior entropy
0.9886
Recall
0.8909
Per class
Relative absolute error
0.3342
Root mean prior squared error
0.496
Root mean squared error
0.2848
Root relative squared error
0.5742
SciMark benchmark
944.3938