Run
276091

Run 276091

Task 4370 (Supervised Classification) pyrim Uploaded 06-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8623
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.763
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5109
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
374.1
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.24
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4872
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
740
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7634
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7649
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9819
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7649
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4927
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4934
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3907
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7919
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
937.1527
UserCPU time millis
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)