Run
89545

Run 89545

Task 3613 (Supervised Classification) servo Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.NaiveBayesUpdateable(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
0.9629
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0001
Cross-validation details (10-fold Crossvalidation)
Build memory
87590119.9521
Cross-validation details (10-fold Crossvalidation)
F measure
0.9313
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8161
Cross-validation details (10-fold Crossvalidation)
KB relative information score
114.697
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1101
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3533
Cross-validation details (10-fold Crossvalidation)
Number of instances
167
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
0.9454
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9281
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7794
Cross-validation details (10-fold Crossvalidation)
Recall
0.9281
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3117
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4193
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2362
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5634
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.2554