Run
316922

Run 316922

Task 4448 (Supervised Classification) fri_c2_500_25 Uploaded 22-03-2015 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

0.9009
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8295
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6427
Cross-validation details (10 times 10-fold Crossvalidation)
2915.7127
Cross-validation details (10 times 10-fold Crossvalidation)
0.2032
Cross-validation details (10 times 10-fold Crossvalidation)
0.4768
Cross-validation details (10 times 10-fold Crossvalidation)
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
0.8297
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8294
Cross-validation details (10 times 10-fold Crossvalidation)
0.9664
Cross-validation details (10 times 10-fold Crossvalidation)
0.8294
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.4261
Cross-validation details (10 times 10-fold Crossvalidation)
0.4882
Cross-validation details (10 times 10-fold Crossvalidation)
0.3512
Cross-validation details (10 times 10-fold Crossvalidation)
0.7194
Cross-validation details (10 times 10-fold Crossvalidation)
1341.5795
10
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)