DEVELOPMENT... OpenML
Run
129260

Run 129260

Task 39 (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)_I40
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
0.7271
Per class
Build CPU time
0.1031
Build memory
1636840537.5
F measure
0.6798
Per class
Kappa
0.3566
KB relative information score
75.1498
Mean absolute error
0.318
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6831
Per class
Predictive accuracy
0.6827
Prior entropy
0.9968
Recall
0.6827
Per class
Relative absolute error
0.6389
Root mean prior squared error
0.4989
Root mean squared error
0.5318
Root relative squared error
1.066
SciMark benchmark
937.9119