Run
353819

Run 353819

Task 252 (Supervised Classification) mfeat-zernike Uploaded 28-03-2015 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
0.9595
Per class
Cross-validation details (33% Holdout set)
F measure
0.7138
Per class
Cross-validation details (33% Holdout set)
Kappa
0.68
Cross-validation details (33% Holdout set)
KB relative information score
484.5191
Cross-validation details (33% Holdout set)
Mean absolute error
0.0564
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-31-generic]
Precision
0.7185
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7121
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.7121
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3133
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.2119
Cross-validation details (33% Holdout set)
Root relative squared error
0.7062
Cross-validation details (33% Holdout set)
SciMark benchmark
1313.11
UserCPU time millis
120
Cross-validation details (33% Holdout set)
UserCPU time millis testing
50
Cross-validation details (33% Holdout set)
UserCPU time millis training
70
Cross-validation details (33% Holdout set)