DEVELOPMENT... OpenML
Run
29090

Run 29090

Task 3911 (Supervised Classification) ar4 Uploaded 10-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8132
Per class
Build CPU time
0.0634
Build memory
908542745.4953
F measure
0.8273
Per class
Kappa
0.3959
KB relative information score
25.0753
Mean absolute error
0.2099
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
0.8243
Per class
Predictive accuracy
0.8411
Prior entropy
0.707
Recall
0.8411
Per class
Relative absolute error
0.6826
Root mean prior squared error
0.3899
Root mean squared error
0.3438
Root relative squared error
0.8819
SciMark benchmark
941.78

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