DEVELOPMENT... OpenML
Run
127755

Run 127755

Task 3630 (Supervised Classification) analcatdata_apnea3 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
0.8708
Per class
Build CPU time
0.0092
Build memory
475373147.2
F measure
0.8975
Per class
Kappa
0.4695
KB relative information score
124.208
Mean absolute error
0.1191
Mean prior absolute error
0.2158
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9023
Per class
Predictive accuracy
0.9111
Prior entropy
0.5405
Recall
0.9111
Per class
Relative absolute error
0.552
Root mean prior squared error
0.3275
Root mean squared error
0.2596
Root relative squared error
0.7926
SciMark benchmark
943.2074