DEVELOPMENT... OpenML
Run
115324

Run 115324

Task 55 (Supervised Classification) vote 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
0.9924
Per class
Build CPU time
0.0738
Build memory
283347742.9885
F measure
0.9519
Per class
Kappa
0.8987
KB relative information score
389.0214
Mean absolute error
0.0488
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9522
Per class
Predictive accuracy
0.9517
Prior entropy
0.9627
Recall
0.9517
Per class
Relative absolute error
0.103
Root mean prior squared error
0.4869
Root mean squared error
0.2104
Root relative squared error
0.4322
SciMark benchmark
945.0532