Run
391897

Run 391897

Task 1907 (Supervised Classification) colic Uploaded 10-04-2015 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

0.8627
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8168
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6066
Cross-validation details (10 times 10-fold Crossvalidation)
1956.6513
Cross-validation details (10 times 10-fold Crossvalidation)
0.2205
Cross-validation details (10 times 10-fold Crossvalidation)
0.4662
Cross-validation details (10 times 10-fold Crossvalidation)
3680
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]
0.8167
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8168
Cross-validation details (10 times 10-fold Crossvalidation)
0.9509
Cross-validation details (10 times 10-fold Crossvalidation)
0.8168
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.473
Cross-validation details (10 times 10-fold Crossvalidation)
0.4827
Cross-validation details (10 times 10-fold Crossvalidation)
0.3786
Cross-validation details (10 times 10-fold Crossvalidation)
0.7843
Cross-validation details (10 times 10-fold Crossvalidation)
938.838
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)