Run
67972

Run 67972

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 30-11-2014 by Joaquin Vanschoren
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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

0.4752
Per class
Cross-validation details (33% Holdout set)
0.012
Cross-validation details (33% Holdout set)
91295080
Cross-validation details (33% Holdout set)
0.6356
Per class
Cross-validation details (33% Holdout set)
0.0369
Cross-validation details (33% Holdout set)
-0.8137
Cross-validation details (33% Holdout set)
0.2805
Cross-validation details (33% Holdout set)
0.2798
Cross-validation details (33% Holdout set)
29
Per class
Cross-validation details (33% Holdout set)
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
0.6211
Per class
Cross-validation details (33% Holdout set)
0.6897
Cross-validation details (33% Holdout set)
1.0305
Cross-validation details (33% Holdout set)
0.6897
Per class
Cross-validation details (33% Holdout set)
1.0024
Cross-validation details (33% Holdout set)
0.3657
Cross-validation details (33% Holdout set)
0.3804
Cross-validation details (33% Holdout set)
1.0402
Cross-validation details (33% Holdout set)
785.9104