DEVELOPMENT... OpenML
Run
126320

Run 126320

Task 280 (Supervised Classification) heart-h 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)_I40
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
0.8922
Per class
Build CPU time
0.064
Build memory
1351574936
F measure
0.8392
Per class
Kappa
0.6449
KB relative information score
55.3902
Mean absolute error
0.0714
Mean prior absolute error
0.1867
Number of instances
97
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8503
Per class
Predictive accuracy
0.8454
Prior entropy
1.0314
Recall
0.8454
Per class
Relative absolute error
0.3823
Root mean prior squared error
0.3038
Root mean squared error
0.2214
Root relative squared error
0.729
SciMark benchmark
943.2074