DEVELOPMENT... OpenML
Run
33949

Run 33949

Task 4324 (Supervised Classification) wisconsin Uploaded 17-10-2014 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
0.5782
Per class
Build CPU time
2.6468
Build memory
62018845.8804
F measure
0.5587
Per class
Kappa
0.1117
KB relative information score
94.8845
Mean absolute error
0.4767
Mean prior absolute error
0.4974
Number of instances
1940
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5586
Per class
Predictive accuracy
0.5608
Prior entropy
0.9963
Recall
0.5608
Per class
Relative absolute error
0.9584
Root mean prior squared error
0.4987
Root mean squared error
0.5035
Root relative squared error
1.0097
SciMark benchmark
947.9844