DEVELOPMENT... OpenML
Run
115701

Run 115701

Task 3895 (Supervised Classification) gina_prior 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
0.9791
Per class
Build CPU time
312.3109
Build memory
853546486.489
F measure
0.94
Per class
Kappa
0.88
KB relative information score
3051.2471
Mean absolute error
0.0603
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9401
Per class
Predictive accuracy
0.94
Prior entropy
0.9998
Recall
0.94
Per class
Relative absolute error
0.1206
Root mean prior squared error
0.4999
Root mean squared error
0.2322
Root relative squared error
0.4644
SciMark benchmark
937.5625