DEVELOPMENT... OpenML
Run
66661

Run 66661

Task 37 (Supervised Classification) diabetes Uploaded 30-11-2014 by Felicia West
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Flow

weka.RealAdaBoost_NaiveBayes(1)J. Friedman, T. Hastie, R. Tibshirani (2000). Additive Logistic Regression: a Statistical View of Boosting. Annals of Statistics. 95(2):337-407.
weka.RealAdaBoost_NaiveBayes(1)_P100
weka.RealAdaBoost_NaiveBayes(1)_H1.0
weka.RealAdaBoost_NaiveBayes(1)_S1
weka.RealAdaBoost_NaiveBayes(1)_I10
weka.RealAdaBoost_NaiveBayes(1)_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
0.8136
Per class
Build CPU time
0.0105
Build memory
179468616.9583
F measure
0.7556
Per class
Kappa
0.4562
KB relative information score
278.2263
Mean absolute error
0.2882
Mean prior absolute error
0.4545
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7544
Per class
Predictive accuracy
0.7591
Prior entropy
0.9335
Recall
0.7591
Per class
Relative absolute error
0.6341
Root mean prior squared error
0.4766
Root mean squared error
0.4208
Root relative squared error
0.8828
SciMark benchmark
929.8459