Run
187938

Run 187938

Task 4354 (Supervised Classification) newton_hema 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
0.8206
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7203
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4414
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
546.0307
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3106
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1400
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7222
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7207
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7207
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6211
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.406
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.812
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1325.942