DEVELOPMENT... OpenML
Run
34725

Run 34725

Task 4433 (Supervised Classification) sleuth_ex2015 Uploaded 20-10-2014 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
0.6634
Per class
Build CPU time
0.0627
Build memory
2096616009.68
F measure
0.6789
Per class
Kappa
0.3502
KB relative information score
110.2435
Mean absolute error
0.4159
Mean prior absolute error
0.4952
Number of instances
600
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6828
Per class
Predictive accuracy
0.6833
Prior entropy
0.9932
Recall
0.6833
Per class
Relative absolute error
0.8399
Root mean prior squared error
0.4975
Root mean squared error
0.4803
Root relative squared error
0.9654
SciMark benchmark
936.3108