Run
187804

Run 187804

Task 3798 (Supervised Classification) fri_c1_250_10 Uploaded 25-02-2015 by Joaquin Vanschoren
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Flow

weka.A2DE(3)Webb, Geoffrey I., Boughton, Janice, Zheng, Fei, Ting, Kai Ming, Salem, Houssam (2012). Learning by extrapolation from marginal to full-multivariate probability distributions: decreasingly naive {Bayesian} classification. Machine Learning. 86(2):233-272.
weka.A2DE(3)_F1
weka.A2DE(3)_M1.0

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
0.9106
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8592
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7134
Cross-validation details (10-fold Crossvalidation)
KB relative information score
153.6565
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1999
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4929
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
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
0.8607
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.86
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9898
Cross-validation details (10-fold Crossvalidation)
Recall
0.86
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4055
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4964
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3296
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.664
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.0566
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)