DEVELOPMENT... OpenML
Run
125666

Run 125666

Task 48 (Supervised Classification) heart-c 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)_I80
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
0.8698
Per class
Build CPU time
0.0574
Build memory
908448907.4587
F measure
0.8412
Per class
Kappa
0.6795
KB relative information score
151.7834
Mean absolute error
0.0996
Mean prior absolute error
0.2004
Number of instances
303
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8416
Per class
Predictive accuracy
0.8416
Prior entropy
1.0792
Recall
0.8416
Per class
Relative absolute error
0.4968
Root mean prior squared error
0.315
Root mean squared error
0.2273
Root relative squared error
0.7215
SciMark benchmark
943.5504