DEVELOPMENT... OpenML
Run
115465

Run 115465

Task 3060 (Supervised Classification) squash-stored 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
0.6853
Per class
Build CPU time
0.194
Build memory
1430414272
F measure
0.4784
Per class
Kappa
0.1953
KB relative information score
5.0642
Mean absolute error
0.3086
Mean prior absolute error
0.4164
Number of instances
17
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4804
Per class
Predictive accuracy
0.5294
Prior entropy
1.4782
Recall
0.5294
Per class
Relative absolute error
0.741
Root mean prior squared error
0.4569
Root mean squared error
0.5478
Root relative squared error
1.1988
SciMark benchmark
917.4547