DEVELOPMENT... OpenML
Run
28449

Run 28449

Task 241 (Supervised Classification) balance-scale Uploaded 09-10-2014 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)_I20
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
0.9307
Per class
Build CPU time
0.086
Build memory
2727291704
F measure
0.7947
Per class
Kappa
0.7028
KB relative information score
111.7103
Mean absolute error
0.1734
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7617
Per class
Predictive accuracy
0.835
Prior entropy
1.3212
Recall
0.835
Per class
Relative absolute error
0.4496
Root mean prior squared error
0.4424
Root mean squared error
0.2916
Root relative squared error
0.6591
SciMark benchmark
943.2915