DEVELOPMENT... OpenML
Run
115593

Run 115593

Task 3665 (Supervised Classification) pyrim 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)_I80
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
0.9089
Per class
Build CPU time
0.0515
Build memory
681975418.7027
F measure
0.9046
Per class
Kappa
0.803
KB relative information score
57.6261
Mean absolute error
0.1074
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9069
Per class
Predictive accuracy
0.9054
Prior entropy
0.9819
Recall
0.9054
Per class
Relative absolute error
0.2204
Root mean prior squared error
0.4934
Root mean squared error
0.2971
Root relative squared error
0.6021
SciMark benchmark
939.6298