Run
473377

Run 473377

Task 4623 (Supervised Classification) pc1 Uploaded 04-09-2015 by Jean Petric
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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.
weka.NaiveBayes(10)_Ktrue

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

0.6492
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8847
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.1846
Cross-validation details (10 times 10-fold Crossvalidation)
-4315.4502
Cross-validation details (10 times 10-fold Crossvalidation)
0.1248
Cross-validation details (10 times 10-fold Crossvalidation)
0.1299
Cross-validation details (10 times 10-fold Crossvalidation)
11090
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.8.0_51, amd64, Linux, 3.16.0-45-generic]
0.8954
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8754
Cross-validation details (10 times 10-fold Crossvalidation)
0.3667
Cross-validation details (10 times 10-fold Crossvalidation)
0.8754
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9607
Cross-validation details (10 times 10-fold Crossvalidation)
0.2542
Cross-validation details (10 times 10-fold Crossvalidation)
0.3462
Cross-validation details (10 times 10-fold Crossvalidation)
1.3622
Cross-validation details (10 times 10-fold Crossvalidation)
1241.4565
160
Cross-validation details (10 times 10-fold Crossvalidation)
160
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)