Run
148934

Run 148934

Task 3504 (Supervised Classification) webdata_wXa Uploaded 06-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Decorate(1)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(1)_E15
weka.Decorate(1)_R1.0
weka.Decorate(1)_S1
weka.Decorate(1)_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
0.8586
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8142
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4759
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12440.6856
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2323
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3648
Cross-validation details (10-fold Crossvalidation)
Number of instances
36974
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
0.8117
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8207
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7951
Cross-validation details (10-fold Crossvalidation)
Recall
0.8207
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6367
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4271
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3496
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8187
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
934.5243
UserCPU time millis
8500820
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
500
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
8500320
Cross-validation details (10-fold Crossvalidation)