DEVELOPMENT... OpenML
Run
115057

Run 115057

Task 3654 (Supervised Classification) fri_c1_100_10 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
0.8426
Per class
Build CPU time
0.056
Build memory
3131228374.4
F measure
0.7985
Per class
Kappa
0.5956
KB relative information score
57.1788
Mean absolute error
0.2149
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.803
Per class
Predictive accuracy
0.8
Prior entropy
0.9975
Recall
0.8
Per class
Relative absolute error
0.4313
Root mean prior squared error
0.4991
Root mean squared error
0.4449
Root relative squared error
0.8914
SciMark benchmark
927.3354