DEVELOPMENT... OpenML
Run
113881

Run 113881

Task 3592 (Supervised Classification) fri_c2_100_5 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)_I10
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
0.8296
Per class
Build CPU time
0.0156
Build memory
867229776.8
F measure
0.7683
Per class
Kappa
0.5148
KB relative information score
53.0294
Mean absolute error
0.2213
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
0.7681
Per class
Predictive accuracy
0.77
Prior entropy
0.9721
Recall
0.77
Per class
Relative absolute error
0.4607
Root mean prior squared error
0.4899
Root mean squared error
0.426
Root relative squared error
0.8695
SciMark benchmark
920.7965