DEVELOPMENT... OpenML
Run
32007

Run 32007

Task 3913 (Supervised Classification) kc2 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
0.8205
Per class
Build CPU time
1.4497
Build memory
363774851.5402
F measure
0.8287
Per class
Kappa
0.4448
KB relative information score
147.4395
Mean absolute error
0.214
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8274
Per class
Predictive accuracy
0.841
Prior entropy
0.734
Recall
0.841
Per class
Relative absolute error
0.6553
Root mean prior squared error
0.4037
Root mean squared error
0.3376
Root relative squared error
0.8363
SciMark benchmark
944.631