Run
476604

Run 476604

Task 3873 (Supervised Classification) dermatology Uploaded 29-10-2015 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
0.9995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9871
Cross-validation details (10-fold Crossvalidation)
KB relative information score
349.3526
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0205
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4251
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
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
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9945
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8898
Cross-validation details (10-fold Crossvalidation)
Recall
0.9945
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0482
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4608
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0953
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2068
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
938.1651
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)