Run
412096

Run 412096

Task 2355 (Supervised Classification) meta_instanceincremental.arff Uploaded 01-05-2015 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
0.9484
Per class
Cross-validation details (33% Holdout set)
F measure
0.9148
Per class
Cross-validation details (33% Holdout set)
Kappa
0.8161
Cross-validation details (33% Holdout set)
KB relative information score
14.8923
Cross-validation details (33% Holdout set)
Mean absolute error
0.0934
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2324
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.925
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.9167
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.9167
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.402
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.1978
Cross-validation details (33% Holdout set)
Root relative squared error
0.584
Cross-validation details (33% Holdout set)
SciMark benchmark
936.7184
UserCPU time millis
190
Cross-validation details (33% Holdout set)
UserCPU time millis training
190
Cross-validation details (33% Holdout set)