Run
187965

Run 187965

Task 4562 (Supervised Classification) vehicle Uploaded 25-02-2015 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
0.9897
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9593
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8938
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
7246.1734
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.053
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3828
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8460
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
0.9594
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9592
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8241
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.9592
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1384
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4374
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1751
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4003
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1250.8301
UserCPU time millis
50
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10 times 10-fold Crossvalidation)