Run
104989

Run 104989

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.A2DE(2)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(2)_F1
weka.A2DE(2)_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.

21 Evaluation measures

Area under ROC curve
0.4486
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0003
Cross-validation details (10-fold Crossvalidation)
Build memory
2290420915.6364
Cross-validation details (10-fold Crossvalidation)
F measure
0.346
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1356
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997
Cross-validation details (10-fold Crossvalidation)
Number of instances
88
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
0.2615
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5114
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9996
Cross-validation details (10-fold Crossvalidation)
Recall
0.5114
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0011
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5004
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0011
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
892.0716