DEVELOPMENT... OpenML
Run
128710

Run 128710

Task 269 (Supervised Classification) sonar Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I20
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.7245
Per class
Build CPU time
0.035
Build memory
964923528
F measure
0.6477
Per class
Kappa
0.2959
KB relative information score
19.9211
Mean absolute error
0.3493
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
0.6528
Per class
Predictive accuracy
0.6471
Prior entropy
0.9968
Recall
0.6471
Per class
Relative absolute error
0.7028
Root mean prior squared error
0.4982
Root mean squared error
0.5575
Root relative squared error
1.1191
SciMark benchmark
909.5718