Run
98889

Run 98889

Task 3860 (Supervised Classification) balance-scale Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.NaiveBayes(2)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.

21 Evaluation measures

Area under ROC curve
0.9946
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0011
Cross-validation details (10-fold Crossvalidation)
Build memory
36812039.3984
Cross-validation details (10-fold Crossvalidation)
F measure
0.955
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9094
Cross-validation details (10-fold Crossvalidation)
KB relative information score
360.8292
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2369
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4969
Cross-validation details (10-fold Crossvalidation)
Number of instances
625
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9569
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9552
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9956
Cross-validation details (10-fold Crossvalidation)
Recall
0.9552
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4768
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4985
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2816
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.565
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.5