DEVELOPMENT... OpenML
Run
128074

Run 128074

Task 57 (Supervised Classification) ionosphere 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)_I10
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
0.9262
Per class
Build CPU time
0.0233
Build memory
484558539.1681
F measure
0.8616
Per class
Kappa
0.6965
KB relative information score
247.7622
Mean absolute error
0.1313
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8622
Per class
Predictive accuracy
0.8632
Prior entropy
0.9425
Recall
0.8632
Per class
Relative absolute error
0.2851
Root mean prior squared error
0.4797
Root mean squared error
0.3293
Root relative squared error
0.6866
SciMark benchmark
929.5397