DEVELOPMENT... OpenML
Run
127155

Run 127155

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)_I20
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
0.8887
Per class
Build CPU time
0.0167
Build memory
1808143563.2
F measure
0.8975
Per class
Kappa
0.4695
KB relative information score
128.5484
Mean absolute error
0.1179
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
0.5462
Root mean prior squared error
0.3275
Root mean squared error
0.2574
Root relative squared error
0.7858
SciMark benchmark
943.2074