DEVELOPMENT... OpenML
Run
32997

Run 32997

Task 4360 (Supervised Classification) elusage 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
0.9513
Per class
Build CPU time
0.0384
Build memory
616601899.1127
F measure
0.8601
Per class
Kappa
0.7158
KB relative information score
385.7759
Mean absolute error
0.1518
Mean prior absolute error
0.4922
Number of instances
550
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8602
Per class
Predictive accuracy
0.86
Prior entropy
0.9891
Recall
0.86
Per class
Relative absolute error
0.3084
Root mean prior squared error
0.4959
Root mean squared error
0.2855
Root relative squared error
0.5756
SciMark benchmark
950.3702