DEVELOPMENT... OpenML
Run
29357

Run 29357

Task 3701 (Supervised Classification) sleuth_case1102 Uploaded 11-10-2014 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
0.4053
Per class
Build CPU time
0.0124
Build memory
2009890116.2353
F measure
0.4649
Per class
Kappa
-0.089
KB relative information score
-2.5914
Mean absolute error
0.5229
Mean prior absolute error
0.4935
Number of instances
34
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4624
Per class
Predictive accuracy
0.4706
Prior entropy
0.9911
Recall
0.4706
Per class
Relative absolute error
1.0597
Root mean prior squared error
0.4965
Root mean squared error
0.5484
Root relative squared error
1.1045
SciMark benchmark
942.4685