OpenML
90162

Run 90162

Task 3055 (Supervised Classification) monks-problems-3 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
0.9889
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.001
Cross-validation details (33% Holdout set)
Build memory
716029816
Cross-validation details (33% Holdout set)
F measure
0.9617
Per class
Cross-validation details (33% Holdout set)
Kappa
0.9219
Cross-validation details (33% Holdout set)
KB relative information score
132.3667
Cross-validation details (33% Holdout set)
Mean absolute error
0.1582
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4967
Cross-validation details (33% Holdout set)
Number of instances
182
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9648
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9615
Cross-validation details (33% Holdout set)
Prior entropy
0.9989
Cross-validation details (33% Holdout set)
Recall
0.9615
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3185
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4971
Cross-validation details (33% Holdout set)
Root mean squared error
0.2184
Cross-validation details (33% Holdout set)
Root relative squared error
0.4394
Cross-validation details (33% Holdout set)
SciMark benchmark
946.9694