DEVELOPMENT... OpenML
Run
114982

Run 114982

Task 3561 (Supervised Classification) profb 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
0.6338
Per class
Build CPU time
0.1574
Build memory
793228545.6548
F measure
0.6456
Per class
Kappa
0.1805
KB relative information score
67.7235
Mean absolute error
0.3935
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6425
Per class
Predictive accuracy
0.6667
Prior entropy
0.9188
Recall
0.6667
Per class
Relative absolute error
0.8851
Root mean prior squared error
0.4714
Root mean squared error
0.4718
Root relative squared error
1.0009
SciMark benchmark
923.9118