DEVELOPMENT... OpenML
Run
127485

Run 127485

Task 235 (Supervised Classification) arrhythmia 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)_I10
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
0.7931
Per class
Build CPU time
5.02
Build memory
579665600
F measure
0.6287
Per class
Kappa
0.4957
KB relative information score
60.1168
Mean absolute error
0.0616
Mean prior absolute error
0.0878
Number of instances
149
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6248
Per class
Predictive accuracy
0.6443
Prior entropy
2.5222
Recall
0.6443
Per class
Relative absolute error
0.7007
Root mean prior squared error
0.211
Root mean squared error
0.1855
Root relative squared error
0.8791
SciMark benchmark
943.2074