DEVELOPMENT... OpenML
Run
29105

Run 29105

Task 2122 (Supervised Classification) kropt 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
0.9184
Per class
Build CPU time
5.418
Build memory
975529904
F measure
0.5607
Per class
Kappa
0.51
KB relative information score
5285.109
Mean absolute error
0.0615
Mean prior absolute error
0.0995
Number of instances
9258
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5624
Per class
Predictive accuracy
0.5626
Prior entropy
3.5053
Recall
0.5626
Per class
Relative absolute error
0.618
Root mean prior squared error
0.2231
Root mean squared error
0.1797
Root relative squared error
0.8054
SciMark benchmark
884.6573