Run
333894

Run 333894

Task 1776 (Supervised Classification) mfeat-factors 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.A1DE(4)G. Webb, J. Boughton, Z. Wang (2005). Not So Naive Bayes: Aggregating One-Dependence Estimators. Machine Learning. 58(1):5-24.
weka.A1DE(4)_F1
weka.A1DE(4)_M1.0

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

0.9867
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9621
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9579
Cross-validation details (5 times 2-fold Crossvalidation)
9609.2373
Cross-validation details (5 times 2-fold Crossvalidation)
0.0076
Cross-validation details (5 times 2-fold Crossvalidation)
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
10000
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.9622
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.9621
Cross-validation details (5 times 2-fold Crossvalidation)
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
0.9621
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
0.0424
Cross-validation details (5 times 2-fold Crossvalidation)
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
0.0856
Cross-validation details (5 times 2-fold Crossvalidation)
0.2854
Cross-validation details (5 times 2-fold Crossvalidation)
1322.2005
6890
Cross-validation details (5 times 2-fold Crossvalidation)
6220
Cross-validation details (5 times 2-fold Crossvalidation)
670
Cross-validation details (5 times 2-fold Crossvalidation)