DEVELOPMENT... OpenML
Run
113638

Run 113638

Task 234 (Supervised Classification) labor 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
0.8766
Per class
Build CPU time
0.01
Build memory
445119400
F measure
0.7176
Per class
Kappa
0.4
KB relative information score
7.875
Mean absolute error
0.2565
Mean prior absolute error
0.468
Number of instances
18
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7176
Per class
Predictive accuracy
0.7222
Prior entropy
0.9393
Recall
0.7222
Per class
Relative absolute error
0.5481
Root mean prior squared error
0.4886
Root mean squared error
0.4888
Root relative squared error
1.0005
SciMark benchmark
939.6298

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