DEVELOPMENT... OpenML
Run
33240

Run 33240

Task 4398 (Supervised Classification) fri_c4_100_100 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
0.837
Per class
Build CPU time
2.1047
Build memory
83609231.12
F measure
0.7632
Per class
Kappa
0.5317
KB relative information score
373.4016
Mean absolute error
0.3289
Mean prior absolute error
0.4982
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7767
Per class
Predictive accuracy
0.764
Prior entropy
0.9975
Recall
0.764
Per class
Relative absolute error
0.6601
Root mean prior squared error
0.4991
Root mean squared error
0.3949
Root relative squared error
0.7911
SciMark benchmark
939.6083