DEVELOPMENT... OpenML
Run
115375

Run 115375

Task 288 (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)_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
0.9371
Per class
Build CPU time
100.316
Build memory
201588408
F measure
0.838
Per class
Kappa
0.7573
KB relative information score
1282.1669
Mean absolute error
0.1089
Mean prior absolute error
0.4444
Number of instances
1650
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8381
Per class
Predictive accuracy
0.8382
Prior entropy
1.5849
Recall
0.8382
Per class
Relative absolute error
0.245
Root mean prior squared error
0.4714
Root mean squared error
0.3211
Root relative squared error
0.6812
SciMark benchmark
935.6292