DEVELOPMENT... OpenML
Run
125662

Run 125662

Task 42 (Supervised Classification) haberman 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
0.6539
Per class
Build CPU time
0.0099
Build memory
306712162.2745
F measure
0.7232
Per class
Kappa
0.2493
KB relative information score
31.7352
Mean absolute error
0.3381
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7237
Per class
Predictive accuracy
0.7516
Prior entropy
0.836
Recall
0.7516
Per class
Relative absolute error
0.867
Root mean prior squared error
0.4412
Root mean squared error
0.4252
Root relative squared error
0.9639
SciMark benchmark
943.5504