Run
375007

Run 375007

Task 4542 (Supervised Classification) hayes-roth Uploaded 30-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.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

0.6216
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6048
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1891
Cross-validation details (10 times 10-fold Crossvalidation)
158.2235
Cross-validation details (10 times 10-fold Crossvalidation)
0.4228
Cross-validation details (10 times 10-fold Crossvalidation)
0.4746
Cross-validation details (10 times 10-fold Crossvalidation)
1320
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.6861
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6659
Cross-validation details (10 times 10-fold Crossvalidation)
0.9635
Cross-validation details (10 times 10-fold Crossvalidation)
0.6659
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8909
Cross-validation details (10 times 10-fold Crossvalidation)
0.4869
Cross-validation details (10 times 10-fold Crossvalidation)
0.4696
Cross-validation details (10 times 10-fold Crossvalidation)
0.9645
Cross-validation details (10 times 10-fold Crossvalidation)
1342.8632
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)