Run
320976

Run 320976

Task 4441 (Supervised Classification) boston 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.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

0.889
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8372
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6636
Cross-validation details (10 times 10-fold Crossvalidation)
3168.2428
Cross-validation details (10 times 10-fold Crossvalidation)
0.1844
Cross-validation details (10 times 10-fold Crossvalidation)
0.4849
Cross-validation details (10 times 10-fold Crossvalidation)
5060
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.8371
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8375
Cross-validation details (10 times 10-fold Crossvalidation)
0.9782
Cross-validation details (10 times 10-fold Crossvalidation)
0.8375
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3803
Cross-validation details (10 times 10-fold Crossvalidation)
0.4924
Cross-validation details (10 times 10-fold Crossvalidation)
0.366
Cross-validation details (10 times 10-fold Crossvalidation)
0.7434
Cross-validation details (10 times 10-fold Crossvalidation)
1297.2338
360
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
360
Cross-validation details (10 times 10-fold Crossvalidation)