DEVELOPMENT... OpenML
Run
68185

Run 68185

Task 34 (Supervised Classification) postoperative-patient-data 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
0.3991
Per class
Build CPU time
0.0093
Build memory
331195218.4
F measure
0.61
Per class
Kappa
0.0331
KB relative information score
-3.8766
Mean absolute error
0.2901
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6424
Per class
Predictive accuracy
0.7111
Prior entropy
1.0305
Recall
0.7111
Per class
Relative absolute error
1.0106
Root mean prior squared error
0.3755
Root mean squared error
0.3978
Root relative squared error
1.0593
SciMark benchmark
932.5791