Run
412377

Run 412377

Task 3726 (Supervised Classification) sleuth_ex2016 Uploaded 02-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Decorate(2)P. Melville, R. J. Mooney: Constructing Diverse Classifier Ensembles Using Artificial Training Examples. In: Eighteenth International Joint Conference on Artificial Intelligence, 505-510, 2003. P. Melville, R. J. Mooney (2004). Creating Diversity in Ensembles Using Artificial Data. Information Fusion: Special Issue on Diversity in Multiclassifier Systems..
weka.Decorate(2)_E15
weka.Decorate(2)_R1.0
weka.Decorate(2)_S1
weka.Decorate(2)_I50

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
0.7794
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7008
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4006
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20.4583
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3959
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4994
Cross-validation details (10-fold Crossvalidation)
Number of instances
87
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
0.7011
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7011
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9992
Cross-validation details (10-fold Crossvalidation)
Recall
0.7011
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7928
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4997
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4375
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8754
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
935.8024
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)