DEVELOPMENT... OpenML
Run
116332

Run 116332

Task 58 (Supervised Classification) waveform-5000 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)_I160
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
0.9424
Per class
Build CPU time
281.1498
Build memory
557658578.4
F measure
0.8487
Per class
Kappa
0.7732
KB relative information score
3961.3881
Mean absolute error
0.1016
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8487
Per class
Predictive accuracy
0.8488
Prior entropy
1.5849
Recall
0.8488
Per class
Relative absolute error
0.2286
Root mean prior squared error
0.4714
Root mean squared error
0.3076
Root relative squared error
0.6526
SciMark benchmark
913.3372