DEVELOPMENT... OpenML
Run
115715

Run 115715

Task 3852 (Supervised Classification) anneal 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
0.9946
Per class
Build CPU time
1.6402
Build memory
625322637.951
F measure
0.9967
Per class
Kappa
0.9908
KB relative information score
887.5245
Mean absolute error
0.0034
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9967
Per class
Predictive accuracy
0.9967
Prior entropy
0.7932
Recall
0.9967
Per class
Relative absolute error
0.0093
Root mean prior squared error
0.426
Root mean squared error
0.0578
Root relative squared error
0.1357
SciMark benchmark
920.7965