DEVELOPMENT... OpenML
Run
114492

Run 114492

Task 3643 (Supervised Classification) sleuth_ex1714 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)_I20
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
0.925
Per class
Build CPU time
0.0112
Build memory
695566887.3191
F measure
0.8298
Per class
Kappa
0.6519
KB relative information score
30.7494
Mean absolute error
0.1661
Mean prior absolute error
0.4894
Number of instances
47
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8298
Per class
Predictive accuracy
0.8298
Prior entropy
0.9852
Recall
0.8298
Per class
Relative absolute error
0.3395
Root mean prior squared error
0.4944
Root mean squared error
0.4015
Root relative squared error
0.8121
SciMark benchmark
919.5971