Run
225101

Run 225101

Task 252 (Supervised Classification) mfeat-zernike Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.VFI(1)G. Demiroz, A. Guvenir: Classification by voting feature intervals. In: 9th European Conference on Machine Learning, 85-92, 1997.
weka.VFI(1)_B0.6

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
0.9228
Per class
Cross-validation details (33% Holdout set)
F measure
0.6068
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5784
Cross-validation details (33% Holdout set)
KB relative information score
131.2387
Cross-validation details (33% Holdout set)
Mean absolute error
0.1636
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.18
Cross-validation details (33% Holdout set)
Number of instances
660
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
0.6165
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6212
Cross-validation details (33% Holdout set)
Prior entropy
3.3219
Cross-validation details (33% Holdout set)
Recall
0.6212
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9091
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3
Cross-validation details (33% Holdout set)
Root mean squared error
0.2814
Cross-validation details (33% Holdout set)
Root relative squared error
0.9381
Cross-validation details (33% Holdout set)
SciMark benchmark
906.4475
UserCPU time millis
90
Cross-validation details (33% Holdout set)
UserCPU time millis testing
80
Cross-validation details (33% Holdout set)
UserCPU time millis training
10
Cross-validation details (33% Holdout set)