DEVELOPMENT... OpenML
Run
68195

Run 68195

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

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I160
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

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
0.8146
Per class
Build CPU time
0.16
Build memory
715778552.1667
F measure
0.7518
Per class
Kappa
0.4479
KB relative information score
275.6253
Mean absolute error
0.2898
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
0.7505
Per class
Predictive accuracy
0.7552
Prior entropy
0.9335
Recall
0.7552
Per class
Relative absolute error
0.6377
Root mean prior squared error
0.4766
Root mean squared error
0.4192
Root relative squared error
0.8795
SciMark benchmark
927.7693