DEVELOPMENT... OpenML
Run
34952

Run 34952

Task 1922 (Supervised Classification) haberman Uploaded 21-10-2014 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
0.6725
Per class
Build CPU time
0.4622
Build memory
365772401.5948
F measure
0.685
Per class
Kappa
0.1419
KB relative information score
217.5798
Mean absolute error
0.3506
Mean prior absolute error
0.39
Number of instances
3060
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6804
Per class
Predictive accuracy
0.7248
Prior entropy
0.836
Recall
0.7248
Per class
Relative absolute error
0.899
Root mean prior squared error
0.4412
Root mean squared error
0.4283
Root relative squared error
0.9708
SciMark benchmark
940.3041