DEVELOPMENT... OpenML
Run
126270

Run 126270

Task 52 (Supervised Classification) heart-statlog 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
0.8534
Per class
Build CPU time
0.0356
Build memory
485244595.2
F measure
0.8147
Per class
Kappa
0.6244
KB relative information score
153.4296
Mean absolute error
0.2202
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8146
Per class
Predictive accuracy
0.8148
Prior entropy
0.9912
Recall
0.8148
Per class
Relative absolute error
0.4458
Root mean prior squared error
0.4969
Root mean squared error
0.3871
Root relative squared error
0.779
SciMark benchmark
937.9119