DEVELOPMENT... OpenML
Run
67972

Run 67972

Task 264 (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
0.4752
Per class
Build CPU time
0.012
Build memory
91295080
F measure
0.6356
Per class
Kappa
0.0369
KB relative information score
-0.8137
Mean absolute error
0.2805
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6211
Per class
Predictive accuracy
0.6897
Prior entropy
1.0305
Recall
0.6897
Per class
Relative absolute error
1.0024
Root mean prior squared error
0.3657
Root mean squared error
0.3804
Root relative squared error
1.0402
SciMark benchmark
785.9104