Run
465022

Run 465022

Task 4562 (Supervised Classification) vehicle Uploaded 11-07-2015 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

0.9691
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9583
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8907
Cross-validation details (10 times 10-fold Crossvalidation)
7199.5923
Cross-validation details (10 times 10-fold Crossvalidation)
0.0568
Cross-validation details (10 times 10-fold Crossvalidation)
0.3828
Cross-validation details (10 times 10-fold Crossvalidation)
8460
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]
0.9582
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9584
Cross-validation details (10 times 10-fold Crossvalidation)
0.8241
Cross-validation details (10 times 10-fold Crossvalidation)
0.9584
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1482
Cross-validation details (10 times 10-fold Crossvalidation)
0.4374
Cross-validation details (10 times 10-fold Crossvalidation)
0.1906
Cross-validation details (10 times 10-fold Crossvalidation)
0.4359
Cross-validation details (10 times 10-fold Crossvalidation)
931.771
890
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
880
Cross-validation details (10 times 10-fold Crossvalidation)