Run
357977

Run 357977

Task 4625 (Supervised Classification) mw1 Uploaded 28-03-2015 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

0.7794
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9114
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.3368
Cross-validation details (10 times 10-fold Crossvalidation)
-693.3871
Cross-validation details (10 times 10-fold Crossvalidation)
0.1123
Cross-validation details (10 times 10-fold Crossvalidation)
0.1438
Cross-validation details (10 times 10-fold Crossvalidation)
4030
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
0.9072
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9174
Cross-validation details (10 times 10-fold Crossvalidation)
0.3987
Cross-validation details (10 times 10-fold Crossvalidation)
0.9174
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7812
Cross-validation details (10 times 10-fold Crossvalidation)
0.2665
Cross-validation details (10 times 10-fold Crossvalidation)
0.2717
Cross-validation details (10 times 10-fold Crossvalidation)
1.0194
Cross-validation details (10 times 10-fold Crossvalidation)
1306.9281
10
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)