DEVELOPMENT... OpenML
Run
34686

Run 34686

Task 3911 (Supervised Classification) ar4 Uploaded 19-10-2014 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
0.852
Per class
Build CPU time
0.3214
Build memory
4075646354.6916
F measure
0.8243
Per class
Kappa
0.4004
KB relative information score
28.103
Mean absolute error
0.2071
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8199
Per class
Predictive accuracy
0.8318
Prior entropy
0.707
Recall
0.8318
Per class
Relative absolute error
0.6734
Root mean prior squared error
0.3899
Root mean squared error
0.3344
Root relative squared error
0.8578
SciMark benchmark
945.7066