DEVELOPMENT... OpenML
Run
32285

Run 32285

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 13-10-2014 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)_I160
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
0.9987
Per class
Build CPU time
975.0411
Build memory
1097394612.0581
F measure
0.993
Per class
Kappa
0.9395
KB relative information score
12762.3755
Mean absolute error
0.0106
Mean prior absolute error
0.1156
Number of instances
14395
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.993
Per class
Predictive accuracy
0.993
Prior entropy
0.3338
Recall
0.993
Per class
Relative absolute error
0.092
Root mean prior squared error
0.2403
Root mean squared error
0.0718
Root relative squared error
0.2986
SciMark benchmark
943.397