DEVELOPMENT... OpenML
Run
113767

Run 113767

Task 2274 (Supervised Classification) meta_ensembles.arff 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)_I10
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
0.7027
Per class
Build CPU time
0.1215
Build memory
738521330.5946
F measure
0.6281
Per class
Kappa
0.3359
KB relative information score
23.3628
Mean absolute error
0.1995
Mean prior absolute error
0.2904
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6197
Per class
Predictive accuracy
0.6486
Prior entropy
1.5899
Recall
0.6486
Per class
Relative absolute error
0.6869
Root mean prior squared error
0.3782
Root mean squared error
0.3936
Root relative squared error
1.0409
SciMark benchmark
943.7751