DEVELOPMENT... OpenML
Run
126309

Run 126309

Task 267 (Supervised Classification) diabetes 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
0.8006
Per class
Build CPU time
0.047
Build memory
1137514312
F measure
0.7523
Per class
Kappa
0.4604
KB relative information score
91.4886
Mean absolute error
0.2967
Mean prior absolute error
0.4589
Number of instances
253
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7513
Per class
Predictive accuracy
0.7549
Prior entropy
0.9335
Recall
0.7549
Per class
Relative absolute error
0.6466
Root mean prior squared error
0.4813
Root mean squared error
0.4238
Root relative squared error
0.8805
SciMark benchmark
943.5504