Run
55011

Run 55011

Task 1721 (Learning Curve) mfeat-zernike Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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.

21 Evaluation measures

Area under ROC curve
0.9642 ± 0.007
Per class
Build CPU time
3.4328
Build memory
918737372.8727
F measure
0.7543 ± 0.0226
Per class
Kappa
0.7306 ± 0.0271
KB relative information score
0.7366 ± 0.0222
Mean absolute error
0.0714 ± 0.004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.7547 ± 0.0212
Per class
Predictive accuracy
0.7575 ± 0.0244
Prior entropy
3.3219
Recall
0.7575 ± 0.0244
Per class
Relative absolute error
0.3969 ± 0.0221
Root mean prior squared error
0.3
Root mean squared error
0.1784 ± 0.0073
Root relative squared error
0.5945 ± 0.0244
SciMark benchmark
1853.1129