DEVELOPMENT... OpenML
Run
28138

Run 28138

Task 4554 (Supervised Classification) analcatdata_marketing 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
0.4981
Per class
Build CPU time
0.04
Build memory
4666288573.1407
F measure
0.56
Per class
Kappa
-0.0309
KB relative information score
-125.9042
Mean absolute error
0.4328
Mean prior absolute error
0.4326
Number of instances
3640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5357
Per class
Predictive accuracy
0.6522
Prior entropy
0.901
Recall
0.6522
Per class
Relative absolute error
1.0004
Root mean prior squared error
0.4649
Root mean squared error
0.4804
Root relative squared error
1.0334
SciMark benchmark
934.1957