Run
322079

Run 322079

Task 1915 (Supervised Classification) dermatology Uploaded 25-03-2015 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

0.9995
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9793
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.974
Cross-validation details (10 times 10-fold Crossvalidation)
3569.0744
Cross-validation details (10 times 10-fold Crossvalidation)
0.0083
Cross-validation details (10 times 10-fold Crossvalidation)
0.2664
Cross-validation details (10 times 10-fold Crossvalidation)
3660
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]
0.9802
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9792
Cross-validation details (10 times 10-fold Crossvalidation)
2.4378
Cross-validation details (10 times 10-fold Crossvalidation)
0.9792
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0313
Cross-validation details (10 times 10-fold Crossvalidation)
0.3649
Cross-validation details (10 times 10-fold Crossvalidation)
0.0664
Cross-validation details (10 times 10-fold Crossvalidation)
0.182
Cross-validation details (10 times 10-fold Crossvalidation)
938.0414
10
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)