DEVELOPMENT... OpenML
Run
114266

Run 114266

Task 269 (Supervised Classification) sonar 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)_I20
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
0.8718
Per class
Build CPU time
0.438
Build memory
1623138808
F measure
0.7767
Per class
Kappa
0.5495
KB relative information score
37.7013
Mean absolute error
0.2214
Mean prior absolute error
0.4971
Number of instances
68
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7828
Per class
Predictive accuracy
0.7794
Prior entropy
0.9968
Recall
0.7794
Per class
Relative absolute error
0.4453
Root mean prior squared error
0.4982
Root mean squared error
0.459
Root relative squared error
0.9213
SciMark benchmark
906.6607