Run
322232

Run 322232

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 25-03-2015 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
0.8032
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8378
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2552
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20.4114
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1854
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2462
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8389
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8658
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.5956
Cross-validation details (10-fold Crossvalidation)
Recall
0.8658
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7532
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3502
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3304
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9436
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.0414
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)