Run
412637

Run 412637

Task 4255 (Supervised Classification) analcatdata_asbestos Uploaded 03-05-2015 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
0.8192
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7847
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5655
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
151.071
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4235
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4943
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
830
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
0.7858
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7843
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9919
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.7843
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8568
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4971
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4376
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8804
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
906.0884
UserCPU time millis
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)