DEVELOPMENT... OpenML
Run
127156

Run 127156

Task 3631 (Supervised Classification) analcatdata_apnea2 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
0.9418
Per class
Build CPU time
0.0113
Build memory
1337007562.0379
F measure
0.9152
Per class
Kappa
0.6256
KB relative information score
214.2801
Mean absolute error
0.1041
Mean prior absolute error
0.2343
Number of instances
475
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9138
Per class
Predictive accuracy
0.9179
Prior entropy
0.5744
Recall
0.9179
Per class
Relative absolute error
0.4445
Root mean prior squared error
0.3414
Root mean squared error
0.243
Root relative squared error
0.7117
SciMark benchmark
937.9119