DEVELOPMENT... OpenML
Run
113931

Run 113931

Task 3646 (Supervised Classification) rabe_265 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
0.6778
Per class
Build CPU time
0.0056
Build memory
1051324233.8824
F measure
0.6439
Per class
Kappa
0.2609
KB relative information score
12.322
Mean absolute error
0.3661
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6428
Per class
Predictive accuracy
0.6471
Prior entropy
0.9791
Recall
0.6471
Per class
Relative absolute error
0.7548
Root mean prior squared error
0.4922
Root mean squared error
0.5351
Root relative squared error
1.0872
SciMark benchmark
906.6607