Run
387061

Run 387061

Task 1895 (Supervised Classification) breast-w Uploaded 05-04-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

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

0.9834
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9651
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9231
Cross-validation details (10 times 10-fold Crossvalidation)
6358.0445
Cross-validation details (10 times 10-fold Crossvalidation)
0.0408
Cross-validation details (10 times 10-fold Crossvalidation)
0.452
Cross-validation details (10 times 10-fold Crossvalidation)
6990
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]
0.9656
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.965
Cross-validation details (10 times 10-fold Crossvalidation)
0.9297
Cross-validation details (10 times 10-fold Crossvalidation)
0.965
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0902
Cross-validation details (10 times 10-fold Crossvalidation)
0.4753
Cross-validation details (10 times 10-fold Crossvalidation)
0.1773
Cross-validation details (10 times 10-fold Crossvalidation)
0.3731
Cross-validation details (10 times 10-fold Crossvalidation)
946.9304
260
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
250
Cross-validation details (10 times 10-fold Crossvalidation)