Run
441796

Run 441796

Task 4315 (Supervised Classification) fri_c3_250_5 Uploaded 16-05-2015 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

0.8706
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8175
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6297
Cross-validation details (10 times 10-fold Crossvalidation)
1361.7961
Cross-validation details (10 times 10-fold Crossvalidation)
0.2328
Cross-validation details (10 times 10-fold Crossvalidation)
0.4919
Cross-validation details (10 times 10-fold Crossvalidation)
2500
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]
0.8182
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8172
Cross-validation details (10 times 10-fold Crossvalidation)
0.9883
Cross-validation details (10 times 10-fold Crossvalidation)
0.8172
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4732
Cross-validation details (10 times 10-fold Crossvalidation)
0.4959
Cross-validation details (10 times 10-fold Crossvalidation)
0.3822
Cross-validation details (10 times 10-fold Crossvalidation)
0.7708
Cross-validation details (10 times 10-fold Crossvalidation)
945.6228
50
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
50
Cross-validation details (10 times 10-fold Crossvalidation)