Run
447441

Run 447441

Task 4595 (Supervised Classification) ada_prior Uploaded 18-05-2015 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

0.8997
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8403
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5785
Cross-validation details (10 times 10-fold Crossvalidation)
20036.0009
Cross-validation details (10 times 10-fold Crossvalidation)
0.1919
Cross-validation details (10 times 10-fold Crossvalidation)
0.3732
Cross-validation details (10 times 10-fold Crossvalidation)
45620
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]
0.8434
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8381
Cross-validation details (10 times 10-fold Crossvalidation)
0.8085
Cross-validation details (10 times 10-fold Crossvalidation)
0.8381
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5143
Cross-validation details (10 times 10-fold Crossvalidation)
0.4319
Cross-validation details (10 times 10-fold Crossvalidation)
0.3415
Cross-validation details (10 times 10-fold Crossvalidation)
0.7905
Cross-validation details (10 times 10-fold Crossvalidation)
930.404
40
Cross-validation details (10 times 10-fold Crossvalidation)
30
Cross-validation details (10 times 10-fold Crossvalidation)
10
Cross-validation details (10 times 10-fold Crossvalidation)