Run
248520

Run 248520

Task 4597 (Supervised Classification) hiva_agnostic Uploaded 04-03-2015 by Joaquin Vanschoren
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Flow

weka.NaiveBayes(10)George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

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

0.7036
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8889
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1424
Cross-validation details (10 times 10-fold Crossvalidation)
-104671.8889
Cross-validation details (10 times 10-fold Crossvalidation)
0.1549
Cross-validation details (10 times 10-fold Crossvalidation)
0.0682
Cross-validation details (10 times 10-fold Crossvalidation)
42290
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]
0.9496
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8451
Cross-validation details (10 times 10-fold Crossvalidation)
0.221
Cross-validation details (10 times 10-fold Crossvalidation)
0.8451
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
2.2713
Cross-validation details (10 times 10-fold Crossvalidation)
0.1844
Cross-validation details (10 times 10-fold Crossvalidation)
0.3905
Cross-validation details (10 times 10-fold Crossvalidation)
2.118
Cross-validation details (10 times 10-fold Crossvalidation)
922.1419
5630
Cross-validation details (10 times 10-fold Crossvalidation)
4300
Cross-validation details (10 times 10-fold Crossvalidation)
1330
Cross-validation details (10 times 10-fold Crossvalidation)