DEVELOPMENT... OpenML
Run
33064

Run 33064

Task 4622 (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
0.8116
Per class
Build CPU time
57.7975
Build memory
872694531.8339
F measure
0.8232
Per class
Kappa
0.2332
KB relative information score
2332.3539
Mean absolute error
0.2128
Mean prior absolute error
0.2616
Number of instances
21090
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.835
Per class
Predictive accuracy
0.8587
Prior entropy
0.622
Recall
0.8587
Per class
Relative absolute error
0.8136
Root mean prior squared error
0.3615
Root mean squared error
0.3246
Root relative squared error
0.8979
SciMark benchmark
949.235