Run
460925

Run 460925

Task 4564 (Supervised Classification) prnn_fglass 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

0.7395
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7367
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4151
Cross-validation details (10 times 10-fold Crossvalidation)
565.9411
Cross-validation details (10 times 10-fold Crossvalidation)
0.3351
Cross-validation details (10 times 10-fold Crossvalidation)
0.4584
Cross-validation details (10 times 10-fold Crossvalidation)
2140
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.7375
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7444
Cross-validation details (10 times 10-fold Crossvalidation)
0.9397
Cross-validation details (10 times 10-fold Crossvalidation)
0.7444
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7311
Cross-validation details (10 times 10-fold Crossvalidation)
0.4786
Cross-validation details (10 times 10-fold Crossvalidation)
0.4483
Cross-validation details (10 times 10-fold Crossvalidation)
0.9367
Cross-validation details (10 times 10-fold Crossvalidation)
932.438
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)