Run
460472

Run 460472

Task 256 (Supervised Classification) nursery Uploaded 03-07-2015 by Joaquin Vanschoren
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Flow

weka.BayesNet_K2(6)Weka implementation of BayesNet
weka.BayesNet_K2(6)_Dtrue
weka.BayesNet_K2(6)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(5)_P1
weka.K2(5)_SBAYES

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

Area under ROC curve
0.9804
Per class
Cross-validation details (33% Holdout set)
F measure
0.8896
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8503
Cross-validation details (33% Holdout set)
KB relative information score
3353.6314
Cross-validation details (33% Holdout set)
Mean absolute error
0.076
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.273
Cross-validation details (33% Holdout set)
Number of instances
4276
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
0.8995
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.899
Cross-validation details (33% Holdout set)
Prior entropy
1.7176
Cross-validation details (33% Holdout set)
Recall
0.899
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.2785
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3694
Cross-validation details (33% Holdout set)
Root mean squared error
0.1777
Cross-validation details (33% Holdout set)
Root relative squared error
0.4809
Cross-validation details (33% Holdout set)
SciMark benchmark
932.438
UserCPU time millis
50
Cross-validation details (33% Holdout set)
UserCPU time millis testing
40
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)