DEVELOPMENT... OpenML
Run
130475

Run 130475

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)_I160
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
0.8843
Per class
Build CPU time
0.3893
Build memory
1240858737.5043
F measure
0.8844
Per class
Kappa
0.7462
KB relative information score
259.757
Mean absolute error
0.1156
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
0.8859
Per class
Predictive accuracy
0.886
Prior entropy
0.9425
Recall
0.886
Per class
Relative absolute error
0.2511
Root mean prior squared error
0.4797
Root mean squared error
0.337
Root relative squared error
0.7026
SciMark benchmark
939.0159