Run
387722

Run 387722

Task 4307 (Supervised Classification) visualizing_environmental Uploaded 06-04-2015 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

0.661
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7007
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4199
Cross-validation details (10 times 10-fold Crossvalidation)
283.5825
Cross-validation details (10 times 10-fold Crossvalidation)
0.3854
Cross-validation details (10 times 10-fold Crossvalidation)
0.499
Cross-validation details (10 times 10-fold Crossvalidation)
1110
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]
0.7345
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7063
Cross-validation details (10 times 10-fold Crossvalidation)
0.9986
Cross-validation details (10 times 10-fold Crossvalidation)
0.7063
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7722
Cross-validation details (10 times 10-fold Crossvalidation)
0.4995
Cross-validation details (10 times 10-fold Crossvalidation)
0.4539
Cross-validation details (10 times 10-fold Crossvalidation)
0.9087
Cross-validation details (10 times 10-fold Crossvalidation)
910.6607
10
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)