DEVELOPMENT... OpenML
Run
114168

Run 114168

Task 3913 (Supervised Classification) kc2 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
0.7884
Per class
Build CPU time
0.1723
Build memory
1098513761.3027
F measure
0.8159
Per class
Kappa
0.4146
KB relative information score
156.1911
Mean absolute error
0.2046
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8119
Per class
Predictive accuracy
0.8238
Prior entropy
0.734
Recall
0.8238
Per class
Relative absolute error
0.6264
Root mean prior squared error
0.4037
Root mean squared error
0.3565
Root relative squared error
0.883
SciMark benchmark
935.6292