DEVELOPMENT... OpenML
Run
115136

Run 115136

Task 3737 (Supervised Classification) fri_c3_250_50 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)_I40
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
0.9329
Per class
Build CPU time
1.1634
Build memory
1144333420
F measure
0.8597
Per class
Kappa
0.7138
KB relative information score
176.6172
Mean absolute error
0.1427
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8597
Per class
Predictive accuracy
0.86
Prior entropy
0.9868
Recall
0.86
Per class
Relative absolute error
0.2908
Root mean prior squared error
0.4954
Root mean squared error
0.3584
Root relative squared error
0.7235
SciMark benchmark
943.4039