DEVELOPMENT... OpenML
Run
130353

Run 130353

Task 3849 (Supervised Classification) analcatdata_marketing Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.4855
Per class
Build CPU time
0.0256
Build memory
1071706487.8462
F measure
0.5752
Per class
Kappa
-0.0133
KB relative information score
-25.3656
Mean absolute error
0.4407
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
0.5616
Per class
Predictive accuracy
0.5989
Prior entropy
0.901
Recall
0.5989
Per class
Relative absolute error
1.0187
Root mean prior squared error
0.4649
Root mean squared error
0.5145
Root relative squared error
1.1066
SciMark benchmark
925.481