DEVELOPMENT... OpenML
Run
31579

Run 31579

Task 3849 (Supervised Classification) analcatdata_marketing 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
0.5235
Per class
Build CPU time
0.3972
Build memory
128738771.3187
F measure
0.5524
Per class
Kappa
-0.0259
KB relative information score
-8.213
Mean absolute error
0.432
Mean prior absolute error
0.4326
Number of instances
364
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5045
Per class
Predictive accuracy
0.6676
Prior entropy
0.901
Recall
0.6676
Per class
Relative absolute error
0.9986
Root mean prior squared error
0.4649
Root mean squared error
0.4713
Root relative squared error
1.0137
SciMark benchmark
920.7454