DEVELOPMENT... OpenML
Run
35169

Run 35169

Task 4266 (Supervised Classification) profb Uploaded 22-10-2014 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)_I80
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
0.6574
Per class
Build CPU time
4.8706
Build memory
340571531.206
F measure
0.6348
Per class
Kappa
0.158
KB relative information score
557.8594
Mean absolute error
0.406
Mean prior absolute error
0.4446
Number of instances
6720
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6512
Per class
Predictive accuracy
0.6807
Prior entropy
0.9188
Recall
0.6807
Per class
Relative absolute error
0.9131
Root mean prior squared error
0.4714
Root mean squared error
0.4555
Root relative squared error
0.9663
SciMark benchmark
774.5101