DEVELOPMENT... OpenML
Run
126583

Run 126583

Task 3656 (Supervised Classification) diabetes_numeric 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
0.6833
Per class
Build CPU time
0.0017
Build memory
923080333.3953
F measure
0.6232
Per class
Kappa
0.2055
KB relative information score
9.4711
Mean absolute error
0.3764
Mean prior absolute error
0.4791
Number of instances
43
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6212
Per class
Predictive accuracy
0.6279
Prior entropy
0.971
Recall
0.6279
Per class
Relative absolute error
0.7857
Root mean prior squared error
0.4889
Root mean squared error
0.4942
Root relative squared error
1.0107
SciMark benchmark
929.5397

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