DEVELOPMENT... OpenML
Run
33379

Run 33379

Task 3665 (Supervised Classification) pyrim 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
0.928
Per class
Build CPU time
0.2827
Build memory
1082962189.2973
F measure
0.8517
Per class
Kappa
0.696
KB relative information score
45.7488
Mean absolute error
0.1957
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8523
Per class
Predictive accuracy
0.8514
Prior entropy
0.9819
Recall
0.8514
Per class
Relative absolute error
0.4016
Root mean prior squared error
0.4934
Root mean squared error
0.32
Root relative squared error
0.6486
SciMark benchmark
945.6224