DEVELOPMENT... OpenML
Run
128993

Run 128993

Task 3668 (Supervised Classification) delta_ailerons 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
0.9669
Per class
Build CPU time
0.2533
Build memory
1360726316.8669
F measure
0.936
Per class
Kappa
0.8714
KB relative information score
5876.1081
Mean absolute error
0.0941
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9362
Per class
Predictive accuracy
0.936
Prior entropy
0.9973
Recall
0.936
Per class
Relative absolute error
0.1888
Root mean prior squared error
0.4991
Root mean squared error
0.2337
Root relative squared error
0.4682
SciMark benchmark
909.5718