Run
460869

Run 460869

Task 4410 (Supervised Classification) autoHorse Uploaded 03-07-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9848
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9102
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8149
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
1662.4246
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0896
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4821
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2050
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9123
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9098
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9742
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9098
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1858
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4909
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.284
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5785
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
932.438
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)