DEVELOPMENT... OpenML
Run
32887

Run 32887

Task 3064 (Supervised Classification) aids Uploaded 14-10-2014 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
0.3667
Per class
Build CPU time
0.024
Build memory
707580112
F measure
0.3897
Per class
Kappa
0.027
KB relative information score
-2.0517
Mean absolute error
0.5559
Mean prior absolute error
0.5
Number of instances
16
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5609
Per class
Predictive accuracy
0.4375
Prior entropy
1
Recall
0.4375
Per class
Relative absolute error
1.1118
Root mean prior squared error
0.5
Root mean squared error
0.5763
Root relative squared error
1.1527
SciMark benchmark
941.9918

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