DEVELOPMENT... OpenML
Run
115052

Run 115052

Task 3648 (Supervised Classification) fri_c3_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
0.7704
Per class
Build CPU time
0.0547
Build memory
2868863516
F measure
0.6986
Per class
Kappa
0.3697
KB relative information score
40.5927
Mean absolute error
0.2787
Mean prior absolute error
0.4804
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
0.6978
Per class
Predictive accuracy
0.7
Prior entropy
0.9721
Recall
0.7
Per class
Relative absolute error
0.5801
Root mean prior squared error
0.4899
Root mean squared error
0.5
Root relative squared error
1.0206
SciMark benchmark
927.3354