DEVELOPMENT... OpenML
Run
33388

Run 33388

Task 3917 (Supervised Classification) kc1 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
0.8082
Per class
Build CPU time
87.3778
Build memory
1213484744.5842
F measure
0.8259
Per class
Kappa
0.2453
KB relative information score
216.3436
Mean absolute error
0.2134
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8389
Per class
Predictive accuracy
0.8606
Prior entropy
0.622
Recall
0.8606
Per class
Relative absolute error
0.8157
Root mean prior squared error
0.3615
Root mean squared error
0.3256
Root relative squared error
0.9006
SciMark benchmark
776.2482