Run
346625

Run 346625

Task 3663 (Supervised Classification) cholesterol Uploaded 27-03-2015 by Joaquin Vanschoren
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Flow

weka.BayesNet_K2(6)Weka implementation of BayesNet
weka.BayesNet_K2(6)_Dtrue
weka.BayesNet_K2(6)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(5)_P1
weka.K2(5)_SBAYES

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.

22 Evaluation measures

Area under ROC curve
0.6098
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.619
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2298
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.7202
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4674
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4955
Cross-validation details (10-fold Crossvalidation)
Number of instances
303
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.621
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6238
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9935
Cross-validation details (10-fold Crossvalidation)
Recall
0.6238
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9434
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9916
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1313.11
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)