DEVELOPMENT... OpenML
Run
33836

Run 33836

Task 4554 (Supervised Classification) analcatdata_marketing Uploaded 16-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.4933
Per class
Build CPU time
3.661
Build memory
151314037.3714
F measure
0.5604
Per class
Kappa
-0.0136
KB relative information score
-30.489
Mean absolute error
0.4253
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
0.5432
Per class
Predictive accuracy
0.6684
Prior entropy
0.901
Recall
0.6684
Per class
Relative absolute error
0.9831
Root mean prior squared error
0.4649
Root mean squared error
0.4777
Root relative squared error
1.0275
SciMark benchmark
927.1172