Run
346284

Run 346284

Task 13 (Supervised Classification) breast-cancer 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
0.6951
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7196
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3146
Cross-validation details (10-fold Crossvalidation)
KB relative information score
54.5395
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3281
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7157
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7273
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.7273
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7843
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4553
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9962
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1313.5633
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)