DEVELOPMENT... OpenML
Run
127795

Run 127795

Task 3668 (Supervised Classification) delta_ailerons Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I10
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9624
Per class
Build CPU time
0.3413
Build memory
881949292.6155
F measure
0.9329
Per class
Kappa
0.8652
KB relative information score
5831.1336
Mean absolute error
0.0983
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
0.933
Per class
Predictive accuracy
0.933
Prior entropy
0.9973
Recall
0.933
Per class
Relative absolute error
0.1973
Root mean prior squared error
0.4991
Root mean squared error
0.2429
Root relative squared error
0.4867
SciMark benchmark
908.8705