DEVELOPMENT... OpenML
Run
115709

Run 115709

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_JRip(2)_I80
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
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
0.513
Per class
Build CPU time
0.1056
Build memory
1388379431.055
F measure
0.5895
Per class
Kappa
0.0159
KB relative information score
-2.1233
Mean absolute error
0.4151
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
0.5757
Per class
Predictive accuracy
0.6264
Prior entropy
0.901
Recall
0.6264
Per class
Relative absolute error
0.9595
Root mean prior squared error
0.4649
Root mean squared error
0.515
Root relative squared error
1.1079
SciMark benchmark
917.4547