Run
331647

Run 331647

Task 4288 (Supervised Classification) rmftsa_ladata Uploaded 26-03-2015 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

0.9113
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8515
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6979
Cross-validation details (10 times 10-fold Crossvalidation)
3307.1139
Cross-validation details (10 times 10-fold Crossvalidation)
0.1774
Cross-validation details (10 times 10-fold Crossvalidation)
0.4921
Cross-validation details (10 times 10-fold Crossvalidation)
5080
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.8514
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8516
Cross-validation details (10 times 10-fold Crossvalidation)
0.9886
Cross-validation details (10 times 10-fold Crossvalidation)
0.8516
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3605
Cross-validation details (10 times 10-fold Crossvalidation)
0.496
Cross-validation details (10 times 10-fold Crossvalidation)
0.3446
Cross-validation details (10 times 10-fold Crossvalidation)
0.6947
Cross-validation details (10 times 10-fold Crossvalidation)
1332.6745
260
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
260
Cross-validation details (10 times 10-fold Crossvalidation)